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Sagar, Musbah Sh. "A web-based approach to engineering adaptive collaborative applications." Thesis, Oxford Brookes University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501964.
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Current methods employed to develop collaborative applications have to make decisions and speculate about the environment in which the application will operate within, the network infrastructure that will be used and the device type the application will operate on. These decisions and assumptions about the environment in which collaborative applications were designed to work are not ideal. These methods produce collaborative applications that are characterised as being inflexible, working on homogeneous networks and single platforms, requiring pre-existing knowledge of the data and information types they need to use and having a rigid choice of architecture.
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Zhao, Jianbin, and 趙建賓. "A portalet-based DIY approach to collaborative product commerce." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B27769793.
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Perera, Ravi Srinath. "Case-based estimating and design : towards a collaborative approach." Thesis, University of Salford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245031.
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Lima, Dutra Moisés. "An ontology-based approach to manage conflicts in collaborative design." Thesis, Lyon 1, 2009. http://www.theses.fr/2009LYO10241/document.
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De nos jours, les projets de conception complexes de produits exigent que les équipes de concepteurs se réunissent pour faciliter le partage de leurs compétences et expertises respectives afin de produire un ensemble de solutions de conception efficace. Dû au besoin croissant d’échanger les connaissances, les projets de conception modernes sont encore plus structurés pour travailler avec des équipes distribuées qui collaborent sur un réseau informatique pour accomplir une conception optimale de produit. Néanmoins, dans ce processus de conception collaborative, l'intégration d'équipes multidisciplinaires – qui implique l'échange et le partage des connaissances et compétences – génère fréquemment des situations conflictuelles. Les différents points de vue et perspectives des experts, les différentes façons de communiquer et collaborer au niveau de connaissances, rendent le processus difficilement maitrisable. Pour accomplir un scénario optimal, certains problèmes doivent d’abords être résolus comme la spécification et formalisation des besoins, l’intégration d'ontologies, la détection et la résolution des conflits. Spécifier et formaliser les connaissances demandent un grand effort afin d’obtenir un modèle de représentation pour agréger plusieurs domaines différents des connaissances. Chaque expert pourrait s'exprimer afin que les autres comprennent leurs informations correctement. Il est donc nécessaire d’utiliser un modèle de représentation de données suffisamment clair et flexible pour accomplir cette tâche. Certains modèles actuels ne parviennent pas à fournir une solution efficace pour le partage des connaissances et pour la collaboration des projets de conception, car ces modèles n’intègrent pas les aspects géographiques, temporels, fonctionnels de la conception avec un modèle de représentation des connaissances flexible et générique. Ce travail propose une architecture, pour la conception collaborative, qui ambitionne d'être synchrone, générique, orientée aux services, basée sur les agents, et basée sur les ontologies. Des modèles particuliers de représentation sont transformés en instances d'ontologie et sont fusionnés pour accomplir le model final de conception d’un produit. C'est une approche synchrone parce que le processus de fusion est entrepris en même temps que l'interaction entre concepteurs. C'est générique parce qu'elle permet aux utilisateurs de travailler avec deux approches pour l’intégration d'ontologies : celle qui utilise une ontologie générique et celle qui utilise un processus d'harmonisation. Notre proposition se concentre sur les conflits de la conception collaborative et fait usage de Web Ontology Language (OWL) et des Services Web, le premier comme langage pour représenter les connaissances et le dernier comme un support technologique pour la communication<br>Today’s complex design projects require teams of designers to work collaboratively by sharing their respective expertise in order to produce effective design solutions. Due to the increasing need for exchanging knowledge, modern design projects are more structured to work with distributed virtual teams that collaborate over computer networks to achieve overall optimization in design. Nevertheless, in a collaborative design process, the integration of multidisciplinary virtual teams – involving exchange and sharing of knowledge and expertise – frequently and inevitably generates conflicting situations. Different experts’ viewpoints and perspectives, in addition to several ways of communicating and collaborating at the knowledge level, make all this process very hard to manage. In order to achieve an optimal scenario, some problems must first be solved, such as requirement specification and formalization, ontology integration, and conflict detection and resolution. Specifying and formalizing the knowledge demands a great effort towards obtaining representation patterns that aggregate several disjoint knowledge areas. Each expert should express himself so that the others can understand his information correctly. It is necessary, therefore, to use a flexible and sufficiently extensive data representation model to accomplish such a task. Some current models fall short of providing an effective solution to effective knowledge sharing and collaboration on design projects, because they fail to combine the geographical, temporal, and functional design aspects with a flexible and generic knowledge representation model. This work proposes an information model-driven collaborative design architecture that supports synchronous, generic, service-oriented, agent-based, and ontology-based teamwork. Particular representation models are transformed into ontology instances and merged together in order to accomplish the final product design. It is a synchronous approach because the concurrent processes are undertaken at the same time that the interactions among designers take place. It is generic because it provides the users with two approaches for ontology integration: the use of a predefined generic ontology and the harmonization process. Our proposal focuses on collaborative design conflict resolution by using Web Ontology Language (OWL) and Web Services, the former as a tool for knowledge representation and the latter as a technological support for communication
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Lima, Dutra Moisés, and Dutra Moisés Lima. "An ontology-based approach to manage conflicts in collaborative design." Phd thesis, Université Claude Bernard - Lyon I, 2009. http://tel.archives-ouvertes.fr/tel-00692473.
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Today's complex design projects require teams of designers to work collaboratively by sharing their respective expertise in order to produce effective design solutions. Due to the increasing need for exchanging knowledge, modern design projects are more structured to work with distributed virtual teams that collaborate over computer networks to achieve overall optimization in design. Nevertheless, in a collaborative design process, the integration of multidisciplinary virtual teams - involving exchange and sharing of knowledge and expertise - frequently and inevitably generates conflicting situations. Different experts' viewpoints and perspectives, in addition to several ways of communicating and collaborating at the knowledge level, make all this process very hard to manage. In order to achieve an optimal scenario, some problems must first be solved, such as requirement specification and formalization, ontology integration, and conflict detection and resolution. Specifying and formalizing the knowledge demands a great effort towards obtaining representation patterns that aggregate several disjoint knowledge areas. Each expert should express himself so that the others can understand his information correctly. It is necessary, therefore, to use a flexible and sufficiently extensive data representation model to accomplish such a task. Some current models fall short of providing an effective solution to effective knowledge sharing and collaboration on design projects, because they fail to combine the geographical, temporal, and functional design aspects with a flexible and generic knowledge representation model. This work proposes an information model-driven collaborative design architecture that supports synchronous, generic, service-oriented, agent-based, and ontology-based teamwork. Particular representation models are transformed into ontology instances and merged together in order to accomplish the final product design. It is a synchronous approach because the concurrent processes are undertaken at the same time that the interactions among designers take place. It is generic because it provides the users with two approaches for ontology integration: the use of a predefined generic ontology and the harmonization process. Our proposal focuses on collaborative design conflict resolution by using Web Ontology Language (OWL) and Web Services, the former as a tool for knowledge representation and the latter as a technological support for communication.
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Law, Kan-chung Kenneth. "Collaborative learning : web-based teaching in secondray physics classroom /." Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25474510.
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羅勤忠 and Kan-chung Kenneth Law. "Collaborative learning: web-based teaching insecondray physics classroom." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31256351.
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Yu, Hong. "A data-driven approach for personalized drama management." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53851.
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An interactive narrative is a form of digital entertainment in which players can create or influence a dramatic storyline through actions, typically by assuming the role of a character in a fictional virtual world. The interactive narrative systems usually employ a drama manager (DM), an omniscient background agent that monitors the fictional world and determines what will happen next in the players' story experience. Prevailing approaches to drama management choose successive story plot points based on a set of criteria given by the game designers. In other words, the DM is a surrogate for the game designers.
In this dissertation, I create a data-driven personalized drama manager that takes into consideration players' preferences. The personalized drama manager is capable of (1) modeling the players' preference over successive plot points from the players' feedback; (2) guiding the players towards selected plot points without sacrificing players' agency; (3) choosing target successive plot points that simultaneously increase the player's story preference ratings and the probability of the players selecting the plot points.
To address the first problem, I develop a collaborative filtering algorithm that takes into account the specific sequence (or history) of experienced plot points when modeling players' preferences for future plot points. Unlike the traditional collaborative filtering algorithms that make one-shot recommendations of complete story artifacts (e.g., books, movies), the collaborative filtering algorithm I develop is a sequential recommendation algorithm that makes every successive recommendation based on all previous recommendations. To address the second problem, I create a multi-option branching story graph that allows multiple options to point to each plot point. The personalized DM working in the multi-option branching story graph can influence the players to make choices that coincide with the trajectories selected by the DM, while gives the players the full agency to make any selection that leads to any plot point in their own judgement. To address the third problem, the personalized DM models the probability that the players transitioning to each full-length stories and selects target stories that achieve the highest expected preference ratings at every branching point in the story space.
The personalized DM is implemented in an interactive narrative system built with choose-your-own-adventure stories. Human study results show that the personalized DM can achieve significantly higher preference ratings than non-personalized DMs or DMs with pre-defined player types, while preserve the players' sense of agency.
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Ozbal, Gozde. "A Content Boosted Collaborative Filtering Approach For Movie Recommendation Based On Local &." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610984/index.pdf.
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Recently, it has become more and more difficult for the existing web based systems
to locate or retrieve any kind of relevant information, due to the rapid growth of the
World Wide Web (WWW) in terms of the information space and the amount of the
users in that space. However, in today'<br>s world, many systems and approaches make
it possible for the users to be guided by the recommendations that they provide
about new items such as articles, news, books, music, and movies. However, a lot of
traditional recommender systems result in failure when the data to be used
throughout the recommendation process is sparse. In another sense, when there
exists an inadequate number of items or users in the system, unsuccessful
recommendations are produced.
Within this thesis work, ReMovender, a web based movie recommendation system,
which uses a content boosted collaborative filtering approach, will be presented.
ReMovender combines the local/global similarity and missing data prediction
v
techniques in order to handle the previously mentioned sparseness problem
effectively. Besides, by putting the content information of the movies into
consideration during the item similarity calculations, the goal of making more
successful and realistic predictions is achieved.
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Ngo, Tramy. "Collaborative marketing for the business sustainability of community-based tourism enterprises: a knowledge co-production approach." Thesis, Griffith University, 2018. http://hdl.handle.net/10072/381376.
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Community-based tourism enterprises (CBTEs) have been extensively promoted in
less developed countries as an entrepreneurship-based approach to community-
based tourism (CBT) initiatives. CBTEs are designed to deliver benefits to wider
communities at the grassroots level at a destination. However, these enterprises
are not always successful. Marketing issues are a key reason for business failure.
Local entrepreneurs of CBTEs quite often have difficulty in independently
promoting their business, particularly at the infant stages of the business life cycle,
and this highlights the need for stakeholder collaborations. This study investigates
a collaborative marketing approach that assists stakeholder collaborations in
marketing CBTEs and guides marketing activities towards the business
sustainability of CBTEs.
This study employed a constructivist paradigm to regulate the research process, the knowledge co-production approach to facilitate knowledge generation processes, and a participatory approach to frame the research design. Accordingly, the study was designed consisting of two stages. At the first stage, thirty CBTE stakeholders of three CBTEs in Vietnam (namely Triem Tay Floating Restaurant, Thanh Toan Gardening and Cookery, and Minh Tho Homestay) were interviewed from November of 2015 to January of 2016. The interviews aimed to interrogate stakeholder perspectives on collaborative marketing alternatives for CBTE business sustainability and their viewpoints regarding the components of a marketing strategy for the long-term success of CBTEs. The outcomes of this stage indicated divergent perspectives regarding CBTE collaborative marketing for business sustainability. Following these divergent perspectives, an interactive workshop was conducted one year later, in March of 2017, at the village of Triem Tay (Vietnam). The workshop, which was facilitated by myself, attracted fifteen CBTE stakeholders, comprising eight of the original interviewees. The workshop provided a platform for CBTE stakeholders to interact and achieve a consensus on a pathway connecting CBTE marketing and business sustainability. Content analysis, narrative analysis and document analysis were used to assist the data analysis.
The findings of this study included a CBTE marketing collaboration of multiple
stakeholders, a framework of collaboration that assists stakeholder interventions
in marketing CBTEs, and proposed marketing strategies for CBTE business
sustainability in Vietnam. The CBTE marketing collaboration of multiple
stakeholders stressed the involvement of multiple stakeholders rather than dyadic
relationships in marketing CBTEs for business sustainability. In this type of CBTE
marketing collaboration, the linkages of a CBTE, a CBTE co-operative, and a social
enterprise were centralised. The social enterprise transforming from commercially
successful tour operators was involved in the CBTE marketing collaboration as a
collaboration facilitator, and the government was involved as an arbitrator and
controller. The CBTE collaborative marketing framework highlighted an
appreciation to other viewpoints among involved stakeholders. Under the
framework, a set of rules co-created by involved stakeholders, aligned with the
objectives of CBTE business sustainability and aimed to regulate stakeholder interventions was advocated. Also included in the framework was the transparency of benefits delivered between local and external stakeholders and the self-control of community leaders towards collective benefits. The proposed CBTE marketing strategies exemplified the integration of third way approach in CBT development and third space approach in CBT marketing to better promote the business sustainability of CBTEs. In these strategies, selective marketing segmentation techniques were preferred; community values and market-oriented attributes were incorporated in product design; service quality control was centralised in product development; an inclusion of a community fund and the alignment to an agreed pricing framework were accounted for; a gird of marketing intermediaries was suggested; young members of a community were involved in promoting CBTEs via social media. Accordingly, the proposed strategies were able to balance the dual objectives of commercial viability and community development for CBTE business sustainability. These findings were compiled to develop a collaborative marketing approach for the long-term success of CBTEs in less-developed countries.
The results also revealed the relevance and significance of the knowledge co-
production approach. This approach could help to reconcile diverse perspectives
among CBTE stakeholders in a CBTE marketing network. Additionally, it could reduce the research-practice gap in the study of CBTE collaborative marketing and leverage the societal contributions of the study.
The contributions of this study lie in five aspects. First, the study advances the CBT literature through arguing the resonance of alternative approaches to address the complex domain of CBTE collaborative marketing for business sustainability. Second, the study advances discussions about the linkages between marketing and sustainable tourism by applying the concept of sustainable tourism marketing in the context of CBTEs. Third, the study enriches the insights of multi-stakeholder collaborations at the organisational level through the collaborative marketing approach developed for the long-term success of CBTEs in less-developed countries. Fourth, the study contributes to debates on tourism knowledge making by advocating for the knowledge co-production approach in collaborative work with people. Finally, the study highlights the attributes of a collaborative marketing approach to overcome the marketing challenges of CBTEs in less-developed countries and bolster their long-term success.<br>Thesis (PhD Doctorate)<br>Doctor of Philosophy (PhD)<br>School of Environment and Sc<br>Science, Environment, Engineering and Technology<br>Full Text
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Mild, Andreas, and Thomas Reutterer. "An improved collaborative filtering approach for predicting cross-category purchases based on binary market basket data." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2002. http://epub.wu.ac.at/414/1/document.pdf.
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Retail managers have been interested in learning about cross-category purchase behavior of their customers for a fairly long time. More recently, the task of inferring cross-category relationship patterns among retail assortments is gaining attraction due to its promotional potential within recommender systems used in online environments. Collaborative filtering algorithms are frequently used in such settings for the prediction of choices, preferences and/or ratings of online users. This paper investigates the suitability of such methods for situations when only binary pick-any customer information (i.e., choice/nonchoice of items, such as shopping basket data) is available. We present an extension of collaborative filtering algorithms for such data situations and apply it to a real-world retail transaction dataset. The new method is benchmarked against more conventional algorithms and can be shown to deliver superior results in terms of predictive accuracy. (author's abstract)<br>Series: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
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Senaratne, Sepani. "A knowledge-based approach to managing project change in the construction phase within collaborative team settings." Thesis, University of Salford, 2005. http://usir.salford.ac.uk/26904/.
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Changes in construction projects are common and can lead to disruptive effects such as project delays, cost overruns and quality deviations. The rework due to unplanned changes can cost 10-15% of contract value. By managing these changes more effectively, these disruptive effects can be minimised or avoided. Previous research has approached this industry problem from an information-processing view with the introduction of hard IT based solutions. In this knowledge age, this study argues that effective change management can be brought about by understanding the significant role of knowledge during change situations. In managing change, the construction project team members bring their tacit and explicit knowledge into the problem situation and it is this knowledge that is captured, converted and shared between the parties during the change process. With this knowledge-based perspective of managing project change, the research problem is articulated for this study as follows: How does the construction project team manage knowledge during unplanned change in the construction phase within collaborative team settings? The research problem is investigated by a conceptual model supported by hypotheses, which recognises and integrates process, group, organisational and wider environmental characteristics within the change process. The research methodology for this study adopted a phenomenological research philosophy. Within this context, case studies were used to investigate the research problem. The principal data collection technique used in the case studies was the semi-structured interviews. Content analysis and cognitive mapping techniques were used to analyse the primary data. The case study findings reveal that different forms of knowledge are created and shared between project team members during problem-solving activities of change events. These knowledge flows are very much centred on tacit knowledge and experience of project personnel. This social construction and use of knowledge in change management challenges the prevailing codification knowledge management solutions based on 'hard' IT approaches, which do not appreciate and accommodate this social phenomenon. The study concludes by stressing the need to balance codification knowledge management strategies with 'soft' personalisation strategies to stimulate and support appropriate social interaction between team members and, thereby, enhance the creation, dissemination and shared understanding of tacit project experience. It is through the balance of codification and personalisation strategies that collaborative teams can successfully resolve and learn from change events in the construction phase of projects.
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Sahinkaya, Ferhat. "A Content Boosted Collaborative Filtering Approach For Recommender Systems Based On Multi Level And Bidirectional Trust Data." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612013/index.pdf.
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As the Internet became widespread all over the world, people started to share great amount of data on the web and almost every people joined different data networks in order to have a quick access to data shared among people and survive against the information overload on the web. Recommender systems are created to provide users more personalized information services and to make data available for people without an extra effort. Most of these systems aim to get or learn user preferences, explicitly or implicitly depending to the system, and guess &ldquo<br>preferable data&rdquo<br>that has not already been consumed by the user. Traditional approaches use user/item similarity or item content information to filter items for the active user<br>however most of the recent approaches also consider the trustworthiness of users. By using trustworthiness, only reliable users according to the target user opinion will be considered during information retrieval. Within this thesis work, a content boosted method of using trust data in recommender systems is proposed. It is aimed to be shown that people who trust the active user and the people, whom the active user trusts, also have correlated opinions with the active user. This results the fact that the rated items by these people can also be used while offering new items to users. For this research, www.epinions.com site is crawled, in order to access user trust relationships, product content information and review ratings which are ratings given by users to product reviews that are written by other users.
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Marshall, Anita Marie Stone. "Evaluation of Academic and Social Engagement in a Technology-Based Collaborative Approach to Inclusive Geoscience Field Learning." Scholar Commons, 2018. http://scholarcommons.usf.edu/etd/7193.
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Field learning is an important aspect of geoscience education to teach or reinforce concepts and skills, and the highly social experience of field work can improve learning outcomes, create networks to support future academic success, and promote a sense of belonging in the geosciences. However, field learning presents significant barriers to participation for students with physical disabilities. The introduction of digital data collection and communication devices into traditional field work settings has created new opportunities to expand access to field learning experiences such as remote collaboration; a method of undertaking field work through collaborative teamwork and the use of digital communication technology.
This mixed-method study examines the factors that influence academic and social engagement when implementing remote collaboration into a residential field learning experience for students with a range of physical abilities. The results of a quantitative video analysis indicate that cumulatively, levels of academic engagement for students using remote collaboration and participating directly in the field were similar, however the results for individual participants were highly variable. An examination of two students who participated in field work with partial direct access and remote access reveal significant differences in how engagement levels varied between the two approaches and highlight the importance of choosing inclusive strategies that are best suited to each student’s learning style and unique needs. Survey results indicate that students found the digital environment of remote collaboration conducive to positive social interaction. An analysis of interview and observation data indicates that potential influences on engagement include the academic background of participants, academic inclusion and support from faculty, social inclusion from peers and the development of cohesive team identities and goals, the ways in which technology was utilized, and student agency in making choices regarding the means of participation and level of physical engagement. The results of this evaluation indicate that remote collaboration has the potential to be an engaging means of participation that enables a more physically diverse student population to be active participants in geoscience field learning environments.
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Osmanli, Osman Nuri. "A Singular Value Decomposition Approach For Recommendation Systems." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612129/index.pdf.
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Data analysis has become a very important area for both companies and researchers as a consequence of the technological developments in recent years. Companies are trying to increase their profit by analyzing the existing data about their customers and making decisions for the future according to the results of these analyses. Parallel to the need of companies, researchers are investigating different methodologies to analyze data more accurately with high performance.
Recommender systems are one of the most popular and widespread data analysis tools. A recommender system applies knowledge discovery techniques to the existing data and makes personalized product recommendations during live customer interaction. However, the huge growth of customers and products especially on the internet, poses some challenges for recommender systems, producing high quality recommendations and performing millions of recommendations per second.
In order to improve the performance of recommender systems, researchers have proposed many different methods. Singular Value Decomposition (SVD) technique based on dimension reduction is one of these methods which produces high quality recommendations, but has to undergo very expensive matrix calculations. In this thesis, we propose and experimentally validate some contributions to SVD technique which are based on the user and the item categorization. Besides, we adopt tags to classical 2D (User-Item) SVD technique and report the results of experiments. Results are promising to make more accurate and scalable recommender systems.
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Williams, Shaun. "Game based pedagogies and the volunteer coaching community : (re)imagining coach learning and knowledge through a collaborative approach." Thesis, University of Bath, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723316.
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Collaborative action was undertaken in response to the continued criticisms of formal coach education. It is strongly felt that we can no longer merely criticise what is not happening in terms of coach learning, but a key requirement now is to demonstrate other options. In the UK up to 80% of coaches are volunteers who reach out to around eight million people involved in sport. This valuable workforce is largely forgotten and the bureaucratic structures which oversee formal coach education are merely concerned with quotas and income generation. A fundamental problem with formal coach education is the way in which learning is decontextualized and a knowledge deficit remains. Coaching is multifarious and complex and we need to consider better ways in terms of how we prepare people for this. The Coach Learning and Development (CLAD) programme was devised and implemented in October 2013 to May 2014 at a community rugby club in Wiltshire. Over this 8 month period a range of strategies for coach learning were integrated into CLAD to evidence methods which benefitted the transition of knowledge(s). The theoretical endeavours of Basil Bernstein are introduced to SCR for the first time, particularly the ‘pedagogical device’ to understand, theorise and develop insight into the type of educational contexts that can better support the learning of volunteer coaches. Findings suggest that CLAD as collaborative action learning was successful in transforming coaches to engage with more positive and contemporary forms of coaching pedagogy. Namely ‘game based pedagogies’ argued to be theoretically underpinned by the ‘constraints based approach’. Empirical insights are given in the hope that this can spur further methodological enquiries that move beyond the mere criticism of coach education. SCR needs research endeavours that shift beyond the ‘bricolage’ where knowledge is transferred into the real world to influence real change. Therefore, the findings also draw on the pivotal features of CLAD to not only support more value laden research commitments, but to inform policy developments and practice that can re-configure more successful outcomes for coach education and coaches.
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Burchett, E. Wayne. "Personnel perceptions of a collaborative school-based staff development approach: case study of three suburban public intermediate schools." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54772.
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Staff development of teachers has been a major topic in the literature over the past decade. The literature has pointed out the shortcomings of traditional staff development while suggesting that school-based staff development can better meet teachers’ needs in the future.
Three suburban public intermediate schools entered into a collaborative approach to staff development in order to bring about a more school-based staff development program. The collaborative approach included a team of teachers and a principal from each school participating in a graduate level course together. One outcome of the course was long-range staff development plans developed by each team based on the needs of each individual school.
The purpose of this study was to examine the efficacy of the collaborative school-based staff development approach in terms of the process, comparison to other intermediate schools, and the product (staff development plans). Seven research questions were answered in this study from the data generated by structured interviews of principals and teachers from the three collaborative schools and three similar noncollaborative intermediate schools as well as the staff development plans from the three collaborative schools.
Findings from the study indicated that the process of the collaborative approach to school-based staff development was generally perceived as having much potential and favored over the traditional approach to staff development. Nevertheless, there was considerable dissatisfaction about the design and delivery of the course. Many recommendations for improvement of the collaborative approach were made by course organizers, principals, and teachers.
There were both similarities and differences in the staff development programs in the collaborative schools as compared to noncollaborative intermediate schools as reported by both principals and teachers. Teachers reported similarities in staff development activities, communication, and strengths. Differences in perceptions included needs assessment, decision-making, and improvements needed. Principals reported the same similarities as teachers except strengths which were viewed differently.
The nature of the staff development plans and their initial implementation varied from school to school. Case A focused on communication within the school and student organization. The plan was perceived as making a positive difference in both areas. Case B focused on orientation of new teachers to the building. Due to a boundary change, no new teachers were added to the staff and the staff development plan was not implemented. Case C focused on improving school climate with three specific emphases over three years: instructional technology, characteristics of the middle school student, and higher level thinking skills in under-achievers. The plan was perceived as making a positive difference in the school.<br>Ed. D.
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Muldoon, Teresa Margaret. "Language acquisition of ESL students in a discipline-based art education classroom using collaborative learning and whole language." Thesis, University of North Texas, 1994. https://digital.library.unt.edu/ark:/67531/metadc332506/.
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This study examined the influences of a variety of verbal and non-verbal strategies on the language acquisition of six fourth grade ESL students in a discipline-based art education classroom. The art teacher/researcher spoke only English, and the students spoke Spanish almost exclusively. The art instruction occurred during eighteen 30 minute sessions, over a period of five months. The program involved the whole language approach, collaborative/cooperative learning, and the study of art concepts through verbal and graphic symbol cue cards and images of art works. Data were amassed from transcripts of video recordings, student and teacher interviews, and reflective notes. This study showed highly successful results with student growth in language acquisition and comprehension of art concepts.
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Voigtmann, Christian [Verfasser]. "An algorithmic approach for collaborative-based prediction of user contexts in ubiquitous environments under consideration of legal implications / Christian Voigtmann." Kassel : Universitätsbibliothek Kassel, 2014. http://d-nb.info/1047736705/34.
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Tindale, Sophie Jade. "Collaborative water-resource governance in the UK : understanding network structure and functionality of a catchment-based approach to water-quality management." Thesis, Durham University, 2018. http://etheses.dur.ac.uk/12673/.
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Since 2011 water resource governance in the UK has begun to integrate a collaborative multi-stakeholder approach to water-quality management. The Catchment-Based Approach (CaBA) facilitates local partnerships of stakeholders to co-create plans, align actions, and make collective decisions about efforts to improve and protect local river and stream environments. The approach offers potential for the enactment of effective, equitable and sustainable water management, but it is often unclear how such efforts are characterised practically. The multiplicity of stakeholders and complexity of issues and influences contribute to difficulty in discerning how governance change is functioning. This thesis uses a case study of the River Wear Catchment, North East England, where stakeholders have been operating CaBA, to begin to explore the patterns and drivers of actions and interactions that facilitate collaborative water-resource governance at the stakeholder level. Drawing on the concept of the catchment as a complex, social-environmental system, this research utilises insights from stakeholders and a combination of analytical methods, including a network approach and agent-based modelling, to provide new perspectives on the network structure and functioning of multi-stakeholder water management. A network approach is used to build a picture of interactions amongst stakeholders and to reveal the nature of the new relationships built through CaBA. Qualitative analysis of interview data identifies key influences on the decision-making of stakeholders and the functionality of new and existing networks of relations at three levels; the interactional, individual and contextual. Agent-based modelling is then used as a heuristic research tool to combine knowledge of relational structures with influences on stakeholder behaviour to experiment with potential dynamics of the system through a specific water-quality, problem-based scenario. The combination of these analytical methods allows a more in-depth and dynamic understanding of the patterns and processes of CaBA than has been revealed previously. The thesis ultimately comments on the utility of such methods for creating new understandings of the operationalisation of water governance processes, and for the utility of those new understandings to inform and question the facilitation of effective and satisfactory delivery of collaborative multi-stakeholder water-quality management at the catchment-scale.
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Yang, Cheng-Yun (Mark). "Understanding the role of b2b social and relational factors on web-based EDI adoption : a collaborative approach in the container liner shipping industry." Thesis, Royal Holloway, University of London, 2013. http://repository.royalholloway.ac.uk/items/8fbbe328-4d42-43ed-b4cf-5c3ec721c248/1/.
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Organisations today operate in a complex, unpredictable, globalised, and competitive business environment and challenging marketplace, emphasis on just-in-time deliveries and service quality through the integration of resources. In response to the changing business dynamics, web-based EDI (WEDI) has been adopted by the global container shipping industry to cost-effectively utilise available resources to build and remain its competitive advantage. To improve the current understanding of WEDI adoption factors, this research explores inter-organisational collaboration of WEDI adoption, focusing on the organisational adoption stage and examine how business level social and relational factors influence WEDI adoption in the context of the container liner shipping industry. Based on theoretical and literature reviews on previous EDI adoption, in particular to three key inter-organisational system adoption empirical research (including Lee and Lim, 2005; Boonstra and de Vries, 2005; Zhu et al., 2006), an integrated research model was established of which features ‘Social Resources' of (trading partner power, trading partner dependence and social network effect), ‘Relational Resources' of (trading partner trust, top management commitment and guanxi, ‘Reward' of (perceived interests), and ‘Technological State' of (technological trust and e-readiness) as prominent antecedents. Through E-mail and Web Survey approach, we examine the nine independent constructs in the research model quantitatively on a dataset of 164 respondents from the top 20 leading container shipping liner in year 2009 and 195 respondents of the top 20 leading container shipping liner in 2012 by 3 case studies through online surveys. After examining its reliability, validity and correlation of the constructs, PLS structural Equation Modelling was applied to test hypotheses. The empirical results update how firms exchange business dada, in particular to the use of WEDI in the industry. This study demonstrated that ‘Social Resources' of trading partner power, trust and guanxi, positively associated with the perceived interest of WEDI adoption. Relational Resources' of trading partner trust, top management commitment and guanxi positively associated with the perceived interest of WEDI adoption. It also confirms the nine constructs to be positively association the WEDI adoption decisions. Drawing upon social exchange theory, we argue that firms simultaneously modify and adjust their social and relational resources to affect other firms' expected benefit as a reward. Overall, based on a rigorous empirical analysis of two different international dataset, this research provides valuable and the most updated insights into a set of key factors that influence WEDI adoption. By recognising what may influence WEDI adoption in the context of the container liner shipping, this study will be useful in suggesting strategies to overcome the constraints that inhibit adoption. Researchers will benefit from the study's theoretical insights and explore further WEDI adoption and diffusion patterns. Practitioners who learn why organisations adopt WEDI and what the related factors are that influence the adoption process will make better strategic decisions concerning the adoption of WEDI.
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Michel, Felix [Verfasser], Florian [Akademischer Betreuer] Matthes, Florian [Gutachter] Matthes, and Martin [Gutachter] Bichler. "A Collaborative Purely Meta-Model-Based Adaptive Case Management Approach for Integrated Care / Felix Michel ; Gutachter: Florian Matthes, Martin Bichler ; Betreuer: Florian Matthes." München : Universitätsbibliothek der TU München, 2020. http://d-nb.info/1215293526/34.
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Kaufman, Jaime C. "A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features." UNF Digital Commons, 2014. http://digitalcommons.unf.edu/etd/540.
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Recommendation systems make it easier for an individual to navigate through large datasets by recommending information relevant to the user. Companies such as Facebook, LinkedIn, Twitter, Netflix, Amazon, Pandora, and others utilize these types of systems in order to increase revenue by providing personalized recommendations. Recommendation systems generally use one of the two techniques: collaborative filtering (i.e., collective intelligence) and content-based filtering.
Systems using collaborative filtering recommend items based on a community of users, their preferences, and their browsing or shopping behavior. Examples include Netflix, Amazon shopping, and Last.fm. This approach has been proven effective due to increased popularity, and its accuracy improves as its pool of users expands. However, the weakness with this approach is the Cold Start problem. It is difficult to recommend items that are either brand new or have no user activity.
Systems that use content-based filtering recommend items based on extracted information from the actual content. A popular example of this approach is Pandora Internet Radio. This approach overcomes the Cold Start problem. However, the main issue with this approach is its heavy demand on computational power. Also, the semantic meaning of an item may not be taken into account when producing recommendations.
In this thesis, a hybrid approach is proposed by utilizing the strengths of both collaborative and content-based filtering techniques. As proof-of-concept, a hybrid music recommendation system was developed and evaluated by users. The results show that this system effectively tackles the Cold Start problem and provides more variation on what is recommended.
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Briggs, Maxwell James. "Facilitating a large scale collaborative venture (LSCV) project : an approach to economic growth based on a strategic marketing evaluation of the Multifunction Polis Project (1987 - 1990) /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18253.pdf.
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Legendre, Anthony. "Ingénierie système et Sûreté de fonctionnement : Méthodologie de synchronisation des modèles d'architecture et d'analyse de risques." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLC083/document.
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L'organisation classique en silos disciplinaires des industries atteint ses limites pour maîtriser la complexité. Les problèmes sont découverts trop tard et le manque de communication entre les experts empêche l'émergence précoce de solutions. C'est pourquoi, il est urgent de fournir de nouvelles approches collaboratives et des moyens d' interactions entre les disciplines d'ingénierie, au début et tout au long du cycle de développement. Dans ce contexte, nous avons étudié l'approche synchronisation de modèles entre deux domaines d'ingénierie : la conception d'architecture de systèmes et la sûreté de fonctionnement. Elle a pour but de construire et maintenir la cohérence entre les modèles.Ces travaux proposent, étudient et analysent une démarche collaborative de synchronisation de modèles. Ils tiennent compte des contextes d’études, des processus, des méthodes appliqués et des points de vue produits par les ingénieurs. Les contributions répondent à des problématiques au niveau des pratiques, des concepts, de la mise en œuvre, des applications et l’implémentation de la synchronisation de modèles<br>Classical organization in disciplinary silos in the industry reaches its limits to manage and control complexity. Problems are discovered too late and the lack of communication between experts prevents the early emergence of solutions. This is why it is urgent to provide new collaborative approaches and ways to exchange the models contents between various engineering fields, early and all along the development cycle. In this context, we are particularly interested in a synchronization approach of models between two engineering fields: system architecture design and dependability analysis.This work proposes a collaborative approach of synchronization of models. It takes into account the study contexts, applied processes, applied methods and viewpoint produced by engineers. Contributions address issues at levels of practices, concepts, implementation, applications and implementation of model synchronization
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Moud, Nawawi Mohd Kamal. "The development of a hybrid knowledge-based Collaborative Lean Manufacturing Management (CLMM) system for an automotive manufacturing environment : the development of a hybrid Knowledge-Based (KB)/ Analytic Hierarchy Process (AHP)/ Gauging Absences of Pre-Requisites (GAP) Approach to the design of a Collaborative Lean Manufacturing Management (CLMM) system for an automotive manufacturing environment." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/3353.
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The automotive manufacturing facility is extremely complex and expensive system. Managing and understanding the dynamics of automotive manufacturing is a challenging endeavour. In the current era of dynamic global competition, a new concept such as Collaborative Lean Manufacturing Management (CLMM) can be implemented as an alternative for organisations to improve their Lean Manufacturing Management (LMM) processes. All members in the CLMM value chain must work together towards common objectives in order to make the LMM achievable in the collaborative environment. The novel research approach emphasises the use of Knowledge-Based (KB) approach in such activities as planning, designing, assessing and providing recommendations of CLMM implementation, through: a) developing the conceptual CLMM model; b) designing the KBCLMM System structure based on the conceptual model; and c) implementing Gauging Absences of Pre-requisites (GAP) analysis and Analytic Hierarchy Process (AHP) approach in the hybrid KBCLMM. The development of KBCLMM Model is the most detailed part in the research process and consists of five major components in two stages. Stage 1 (Planning stage) consists of Organisation Environment, Collaborative Business and Lean Manufacturing components. Stage 2 (Design stage) consists of Organisation CLMM Capability and Organisation CLMM Alignment components. Each of these components consists of sub-components and activities that represent particular issues in the CLMM development. From the conceptual model, all components were transformed into the KBCLMM System structure, which is embedded with the GAP and AHP techniques, and thus, key areas of potential improvement in the LMM are identified for each activity along with the identification of both qualitative and quantitative aspects for CLMM implementation. In order to address the real situation of CLMM operation, the research validation was conducted for an automotive manufacturer's Lean Manufacturing Chain in Malaysia. Published case studies were also used to test several modules for their validity and reliability. This research concludes that the developed KBCLMM System is an appropriate Decision Support System tool to provide the opportunity for academics and industrialists from the fields of industrial engineering, information technology, and operation management to plan, design and implement LMM for a collaborative environment.
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Kumin, Enid C. "Ecosystem-Based Management and Refining Governance Of Wind Energy in the Massachusetts Coastal Zone: A Case Study Approach." Antioch University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=antioch1438439831.
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Alhalabi, Wadee Saleh. "Induction-Based Approach to Personalized Search Engines." Scholarly Repository, 2008. http://scholarlyrepository.miami.edu/oa_dissertations/106.
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In a document retrieval system where data is stored and compared with a specific query and then compared with other documents, we need to find the document that is most similar to the query. The most similar document will have the weight higher than other documents. When more than one document are proposed to the user, these documents have to be sorted according to their weights. Once the result is presented to the user by a recommender system, the user may check any document of interest. If there are two different documents' lists, as two proposed results presented by different recommender systems, then, there is a need to find which list is more efficient. To do so, the measuring tool "Search Engine Ranking Efficiency Evaluation Tool [SEREET]" came to existence. This tool assesses the efficiency of each documents list and assigns a numerical value to the list. The value will be closer to 100% if the ranking list efficiency is high which means more relevance documents exist in the list and documents are sorted according to their relevance to the user. The value will be closer to 0% when the ranking list efficiency is poor and all of the presented documents are uninteresting documents to the user. A model to evaluate ranking efficiency is proposed in the dissertation, then it is proved it mathematically. Many mechanisms of search engine have been proposed in order to assess the relevance of a web page. They have focused on keyword frequency, page usage, link analysis and various combinations of them. These methods have been tested and used to provide the user with the most interesting web pages, according to his or her preferences. The collaborative filtering is a new approach, which was developed in this dissertation to retrieve the most interesting documents to the user according to his or her interests. Building a user profile is a very important issue in finding the user interest and categorizes each user in a suitable category. This is a requirement in collaborative filtering implementation. The inference tools such as time spent in a web page, mouse movement, page scrolling, mouse clicks and other tools were investigated. Then the dissertation shows that the most efficient and sufficient tool is the time a user spent on a web page. To eliminate errors, the system introduces a low threshold and high threshold for each user. Once the time spent on a web page breaks this threshold, an error is reported. SEREET tool is one of the contributions to the scientific society, which measures the efficiency of a search engine ranking list. Considerable work were carried, then the conclusion was that the amount of time spent on a web page is the most important factor in determining a user interest of a web page and also it is a sufficient tool which does not require collaborations from other tools such as mouse movements or a page scrolling. The results show that implicit rating is a satisfactory measure and can replace explicit rating. New filtering technique was introduced to design a fully functional recommender system. The linear vector algorithm which was introduced improves the vector space algorithm (VSA) in time complexity and efficiency. The use of machine learning enhances the retrieved list efficiency. Machine learning algorithm uses positive and negative examples for the training, these examples are mandatory to improve the error rate of the system. The result shows that the amount of these examples increases proportionally with the error rate of the system.
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Neto, Fernando Soares de Aguiar. "Pre-processing approaches for collaborative filtering based on hierarchical clustering." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-25032019-102215/.
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Recommender Systems (RS) support users to find relevant content, such as movies, books, songs, and other products based on their preferences. Such preferences are gathered by analyzing past users interactions, however, data collected for this purpose are typically prone to sparsity and high dimensionality. Clustering-based techniques have been proposed to handle these problems effectively and efficiently by segmenting the data into a number of similar groups based on predefined characteristics. Although these techniques have gained increasing attention in the recommender systems community, they are usually bound to a particular recommender system and/or require critical parameters, such as the number of clusters. In this work, we present three variants of a general-purpose method to optimally extract users groups from a hierarchical clustering algorithm specifically targeting RS problems. The proposed extraction methods do not require critical parameters and can be applied prior to any recommendation system. Our experiments have shown promising recommendation results in the context of nine well-known public datasets from different domains.<br>Sistemas de Recomendação auxiliam usuários a encontrar conteúdo relevante, como filmes, livros, músicas entre outros produtos baseando-se em suas preferências. Tais preferências são obtidas ao analisar interações passadas dos usuários, no entanto, dados coletados com esse propósito tendem a tipicamente possuir alta dimensionalidade e esparsidade. Técnicas baseadas em agrupamento de dados têm sido propostas para lidar com esses problemas de foma eficiente e eficaz ao dividir os dados em grupos similares baseando-se em características pré-definidas. Ainda que essas técnicas tenham recebido atenção crescente na comunidade de sistemas de recomendação, tais técnicas são usualmente atreladas a um algoritmo de recomendação específico e/ou requerem parâmetros críticos, como número de grupos. Neste trabalho, apresentamos três variantes de um método de propósitvo geral de extração ótima de grupos em uma hierarquia, atacando especificamente problemas em Sistemas de Recomendação. Os métodos de extração propostos não requerem parâmetros críticos e podem ser aplicados antes de qualquer sistema de recomendação. Os experimentos mostraram resultados promissores no contexto de nove bases de dados públicas conhecidas em diferentes domínios.
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Axelsson, Victor. "Collaborative Recommendations for Music Session Instrumentation : Contrasting Graph to ML Based Approaches." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232065.
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Digital music composers are required to become proficient with relevant tools necessary for music in their particular domain. The learning curve for acquiring the skills for creative music composing, relative to the respective tooling, can be steep. The topic of recommendation systems aims to help the user getting over this threshold by filtering out irrelevant material. Many of the state-ofthe-art recommendation systems focus on metrics that are easy to measure as opposed to focusing on metrics that reflect a natural next-step when creating and listening to music. There is an exaggerated focus on smaller sets of metrics, especially accuracy metrics, and how these can be optimized. At the same time, there is support for the need of using complementary metrics, such as novelty and catalogue coverage, for more diversified recommendations. This suggests that even though the need for complementary metrics is known, it is often overlooked. The majority of these state-of-the-art approaches utilizes recommendations based either on graphs or machine learned models and little elaboration on how these approaches will effect the metrics are shown. The used toolset for the conducted experiment is composed of sessions with digital instruments, where the recommendation systems aims to give recommendations on what instrument to pick as the next step in the session. The contribution of this thesis includes how the architecture of the recommendation system can be composed in order to have a more fine grained control over the optimization of different metrics. By using scoring from a linear combination of similarity, selfexciting events and a weighted graph different metrics can dynamically be given more space. By contrasting this graph based approach to a machine learned model this thesis shows how metrics are effected by the architecture, so that recommendation systems can be built for better transparency and more user control over metric optimization.<br>Vid digitalt musikskapande behöver kompositören lära sig relevanta verktyg för musik i den specifika domänen. Inlärningskurvan för anskaffningen av färdigheter för kreativt musikskapande, med avseende på tillgängliga verktyg, kan vara brant. Rekommendationssystem syftar till att hjälpa användaren komma över inlärningströskeln genom att filtrera ut relevant material. Ett gemensamt problem för de vanligare rekommendationsmetoderna är att dessa fokuserar på enkelmätt utvärderingsmetrik. Detta står i kontrast till sådan metrik vilken återspeglar ett naturligt nästa steg vid konsumtion och skapande av musik. Det finns ett överdrivet fokus på en liten grupp mätvärden, speciellt träffsäkerhet (eng. accuracy), och hur dessa kan optimeras. Samtidigt finns det också ett stort stöd för behovet av kompletterande metrik, såsom nyheter (eng. novelty) och katalogtäckning (eng. catalogue coverage), för en bättre mångfald i rekommendationerna. Detta tyder på att även om behovet av kompletterande metrik är känt, förbises det ofta. Majoriteten av de tillgängliga systemen använder rekommendationer vilka baseras antingen på grafer eller maskinlärda modeller. Vanligt förekommande är att diskussionen rörande valet av utvärderingsmetrik och metod samt dessas ömsesidiga influens bortses ifrån. De verktyg som används för experimentet i denna uppsats består av sessioner med digitala instrument, där rekommendationen syftar till att visa vilket instrument som kan väljas i nästa steg i sessionen. Denna uppsatts bidrar med en diskussion om hur datadrivna rekommendationsarkitekturer och tillvägagångssätt kan konstrueras för att erhålla en mer detaljerad kontroll över vilka mätvärden som optimeras. Genom att använda en linjär kombination av likhet, självexciterade händelser (eng. self-exciting events) och en viktad graf kan olika rekommendationsmetoder, och så till vida utvärderingsmetrik, dynamiskt ges mer utrymme i den slutgiltiga bedömningen. Genom att jämföra detta grafbaserade tillvägagångssätt med en maskinlärd modell visar denna uppsats hur metrik påverkas av metodval. Detta medför att rekommendationssystem kan konstrueras för bättre transparens för musikskaparen och mer användarkontroll över metrikoptimeringen.
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Zaker, Hosein Mohammed Reza. "BIM implementation in architectural practices : towards advanced collaborative approaches based on digital technologies." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/668050.
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We are at a stage where Building Information Modelling (BIM) has reached a maturity level to be widely adopted by the professionals and organizations within the Architectural, Engineering and Construction (AEC) industry. An industry which is highly fragmented and not advanced in terms of digitalization, making an effective collaboration hard to achieve. The advances in Information and Communication Technologies (ICT) have brought about the promise of improving collaborative procedure in a wide range of industries. The widespread adoption of BIM has paved the way for the introduction of ICT within the AEC sector. The reported benefits of BIM imply on its potential for contributing to a successful inter-disciplinary collaboration. This calls for attention from architects who shall consider how BIM allows the architectural practices to operate in truly novel ways to achieve new building efficiencies and organizations. This research was designed to investigate the crucial factors for an effective collaboration based on advanced ICT and enabled by BIM with respect to architectural practices. An effective inter-disciplinary collaboration allows architects as the authors of the projects to oversee the development and delivery of the projects more consistently with their design intends. The concerns about the move towards adopting BIM by architectural firms were reviewed and its influential factors and barriers were discussed. As we read about it, BIM is indicated by different terms to describe its essence: ‘’BIM methodology’’, ‘’BIM technology’’, ‘’BIM process’’, ‘’BIM systems’’ and etc. However, none of these terms can include all aspects of BIM. The term ‘’ecosystem’’ was adopted to describe the nature of BIM and the reason for which is described in this work. To further constitute the BIM ecosystem, its dimensions of People, Products and Processes were presented in detail with respect to collaborative procedures. It included the delineation of a number of BIM policies and protocols, tools and technologies, roles and skills which are all related to and suitable for architectural practices in their interdisciplinary collaboration. Through three case studies, the research questions and hypothesis were put into investigation. Based on the idea of change management and the socio-technical nature of BIM collaboration, a qualitative research approach was adopted. Various techniques were used to gather information to be analyzed through a coding process of the qualitative data. The codes were interpreted as the factors influencing collaboration and were grouped to form the crucial concepts contributing to effective BIM-enabled collaborative procedures. It was revealed that the “joint decision making” factor is the most crucial one in this respect followed by “collaboration involvement” and “interoperability”. These findings were based on the frequency of the codes related to these factors in the data analysis. The crucial concepts in BIM-enabled collaboration were revealed to be “collaboration conditions” followed by “software capacity” and “human resources organization”. The findings confirm the research hypotheses that BIM implementation asks architects to assume a leadership role in collaborative procedures and that it allows for the integration of ICT into the technological pipeline of architectural practices. However, the validity of the two hypotheses is subject to certain conditions that are discussed in this work. The research finds the area of BIM education a place of great interest for future research work as the factor of “training” has a great influence on the overall success of BIM-enabled collaboration. Furthermore, it was revealed that the crucial factor of “interoperability” needs more attention from both industry and academic sectors. The impacts of BIM implementation on existing and emerging roles within the industry is another area of great interest for future works and research.<br>Estamos en una etapa en la que Building Information Modeling (BIM) ha alcanzado un nivel de madurez que será ampliamente adoptado por el Profesionales y organizaciones dentro de la industria de Arquitectura, Ingeniería y Construcción (AIC). Una industria que es altamente fragmentado y no avanzado en términos de digitalización, lo que hace que una colaboración efectiva sea difícil de lograr. Los avances en las Tecnologías de la Información y la Comunicación (TIC) han traído la promesa de mejorar la colaboración Procedimiento en una amplia gama de industrias. La adopción generalizada de BIM ha allanado el camino para la introducción de las TIC en el sector de la AIC. Los beneficios reportados de BIM implican en su potencial para contribuir a un éxito interdisciplinario colaboración. Esto requiere la atención de arquitectos que deben considerar cómo BIM permite que las prácticas arquitectónicas operen en formas verdaderamente novedosas para lograr nuevas eficiencias de construcción y organizaciones. Esta investigación fue diseñada para investigar los factores cruciales para una colaboración efectiva basada en TIC avanzadas y habilitado por BIM con respecto a las prácticas arquitectónicas. Una colaboración interdisciplinaria efectiva permite a los arquitectos como autores de los proyectos para supervisar el desarrollo y la entrega de los proyectos de manera más coherente con sus propósitos de diseño. Se revisaron las preocupaciones sobre el movimiento hacia la adopción de BIM por parte de las empresas de arquitectura y sus factores influyentes y Se discutieron las barreras. A medida que leemos sobre esto, BIM se indica mediante diferentes términos para describir su esencia: "metodología BIM", "Tecnología BIM", "Proceso BIM", "Sistemas BIM" y etc. Sin embargo, ninguno de estos términos puede incluir todos los aspectos de BIM. El término "ecosistema" se adoptó para describir la naturaleza de BIM y la razón por la cual se describe en este trabajo. A más constituyen el ecosistema BIM, sus dimensiones de Personas, Productos y Procesos se presentaron en detalle con respecto a procedimientos colaborativos. Incluía la delineación de una serie de políticas y protocolos BIM, herramientas y tecnologías, roles y habilidades que están relacionadas y son adecuadas para las prácticas arquitectónicas en su colaboración interdisciplinaria. A través de tres estudios de caso, las preguntas de investigación y la hipótesis se pusieron en investigación. Basado en la idea de cambio. La gestión y la naturaleza sociotécnica de la colaboración BIM, se adoptó un enfoque de investigación cualitativa. Varios se utilizaron técnicas para recopilar información para analizarla a través de un proceso de codificación de los datos cualitativos. Los codigos fueron interpretados como los factores que influyen en la colaboración y se agruparon para formar los conceptos cruciales que contribuyen a la eficacia procedimientos colaborativos habilitados por BIM. Se reveló que el factor de "toma de decisiones conjunta" es el más crucial en este sespeto seguido de "participación colaborativa" e "interoperabilidad". Estos hallazgos se basaron en la frecuencia de códigos relacionados con estos factores en el análisis de datos. Los conceptos cruciales en la colaboración habilitada por BIM se revelaron como "Condiciones de colaboración" seguidas de "capacidad de software" y "organización de recursos humanos". Los hallazgos confirman la investigar las hipótesis de que la implementación BIM les pide a los arquitectos que asuman un papel de liderazgo en los procedimientos de colaboración y que permite la integración de las TIC en la línea tecnológica de las prácticas arquitectónicas. La investigación considera que el área de educación BIM es un lugar de gran interés para futuros trabajos de investigación, ya que el factor de "capacitación" tiene un gran influencia en el éxito general
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Huang, Shu-ling, and 黃淑玲. "Exploring the impact of different task-based language teaching scaffolding approaches in Wikispaces collaborative writing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hdl.handle.net/10722/209556.
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Task-based Language Teaching is the process of experiential learning. Learners’ active involvement is central to this approach, i.e. Learning by Doing (Nunan, 2004).
Technology is able to provide individual remedial/tutorial assistance, allow differentiation, offer enriched content, enhance motivation and encourage involvement (Branden, 2006). With technology, students can enjoy more self-learning chances for improving language skills. The implementation of Task-based Language Teaching and Technology Infusion approaches will more effectively deliver second/foreign language lessons.
Technology brings affordances to TBLT, but also brings over challenges as well. Research studies on wiki-based collaborative writings have reported problems like students lacking relevant skills and failing to focus on form, which suggests the importance of adding scaffolding strategies.
This dissertation will examine and compare the effect of scaffolding approaches for Taskbased Language Teaching procedures in Wikispaces Collaborative Writing. Both treatment and control group students are given pre-task, three wiki-collaborative writing tasks and post task.
The researcher will concentrate on the study of how does Technology enhance the Taskbased Language Teaching (TBLT)? How to best implement both Task-based Language Teaching (TBLT) and Technology Integration/Infusion with different scaffolding approach, in order to motivate students’ learning interest, enhance “Second Language Acquisition” (SLA), and improve collaborative writing strategies/ skills.
Furthermore, whether the scaffolding approaches will contribute to positive difference on learners’ fluency, accuracy and complexity by means of these collaborative writing tasks will be also examined.<br>published_or_final_version<br>Education<br>Master<br>Master of Education
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Hedlund, Jesper, and Tengstrand Emma Nilsson. "A Comparison between Different Recommender System Approaches for a Book and an Author Recommender System." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166378.
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A recommender system is a popular tool used by companies to increase customer satisfaction and to increase revenue. Collaborative filtering and content-based filtering are the two most common approaches when implementing a recommender system, where the former provides recommendations based on user behaviour, and the latter uses the characteristics of the items that are recommended. The aim of the study was to develop and compare different recommender system approaches, for both book and author recommendations and their ability to predict user ratings of an e-book application. The evaluation of the models was done by measuring root mean square error (RMSE) and mean absolute error (MAE). Two pure models were developed, one based on collaborative filtering and one based on content-based filtering. Also, three different hybrid models using a combination of the two pure approaches were developed and compared to the pure models. The study also explored how aggregation of book data to author level could be used to implement an author recommender system. The results showed that the aggregated author data was more difficult to predict. However, it was difficult to draw any conclusions of the performance on author data due to the data aggregation. Although it was clear that it was possible to derive author recommendations based on data from books. The study also showed that the collaborative filtering model performed better than the content-based filtering model according to RMSE but not according to MAE. The lowest RMSE and MAE, however, were achieved by combining the two approaches in a hybrid model.
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Rudakova, Olga. "User- and system initiated approaches to content discovery." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-40674.
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Social networking has encouraged users to find new ways to create, post, search, collaborate and share information of various forms. Unfortunately there is a lot of data in social networks that is not well-managed, which makes the experience within these networks less than optimal. Therefore people generally need more and more time as well as advanced tools that are used for seeking relevant information. A new search paradigm is emerging, where the user perspective is completely reversed: from finding to being found. The aim of present thesis research is to evaluate two approaches of identifying content of interest: user-initiated and system-initiated. The most suitable approaches will be implemented. Various recommendation systems for system-initiated content recommendations will also be investigated, and the best suited ones implemented. The analysis that was performed demonstrated that the users have used all of the implemented approaches and have provided positive and negative comments for all of them, which reinforces the belief that the methods for the implementation were selected correctly. The results of the user testing of the methods were evaluated based on the amount of time it took the users to find the desirable content and on the correspondence of the result compared to the user expectations.
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Molino, Nicholas Anthony. "A multi-level trade-off methodology for analyzing collaborative system-of-system alternatives." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53585.
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As unmanned vehicle capabilities have matured, the design and development of autonomous collaborative Systems-of-Systems (SoS) has gained increased attention. This has been motivated by the indication that significant improvements in overall effectiveness may be possible by employing many systems in cooperation with one another. However, as the potential combinations of vehicles, subsystems, and operational concepts becomes increasingly large, a systematic approach is needed for designing and analyzing alternatives. Furthermore, the discrete nature of the problem can cause variations in effectiveness that are counter-intuitive, such as a point of diminishing returns as the number of systems grows.
Systems-of-systems are hierarchical in nature, consisting of top-level mission requirements that are decomposed into system- and subsystem-level performance measures. The overarching research objectives of this dissertation are to show that the analysis of alternatives should be performed at varying levels of the SoS hierarchy and to provide novel means for performing those analyses. In particular, it has been postulated that a formulation built on an energy-based approach to multi-level analysis of SoS components will enable more accurate and transparent subsystem and system trade-offs. Various steps of the design process are established and argued for or against, and significant focus is placed on the analysis of alternatives.
The foundation of the new method is laid on structured SoS engineering principles. The full substance comes together by incorporating unique aspects developed within this dissertation. A new virtual experimentation approach is presented for creating sensor performance representations that are functions of vehicle operations. The sonar equation is used as a baseline sensor model for comparison against the new virtual experimentation method. Dozens of forward-looking and side-scan sonar experiments are designed, and data is provided to show the extent to which typical sensor modeling over-predicts performance without vehicle operations considered. In addition, comparisons are made between possible representations of vehicle performance. An underwater vehicle sizing and synthesis process is developed to enable comparisons between system-level component modeling approaches. The experiments attest to significant gaps in accuracy when performing sensor and operational trade-offs without energy-based modeling of the collaborative vehicles. Finally, a heuristic path-planning algorithm is formulated, and mixed-integer linear programming is used to choose between alternative SoS designs.
The developed method is demonstrated through a representative example problem: a group of unmanned underwater vehicles (UUVs) operating in a collaborative fashion to search for underwater objects. The example scenario provides an application for illustrating the phenomenon discussed in regards to the analysis of alternatives of collaborative SoS. The significance of providing more or less analytic detail is traced and the effect on mission requirements is quantified. Counter-intuitive results are highlighted, such as the observation that the increased energy required for systems to effectively collaborate can often out-weigh the benefits gained in overall mission effectiveness.
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Vu, Xuan Truong. "User-centered and group-based approach for social data filtering and sharing." Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2179/document.
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Les médias sociaux occupent un rôle grandissant dans de nombreux domaines de notre vie quotidienne. Parmi d'autres, les réseaux sociaux tels que Facebook, Twitter, LinkedIn et Google+ dont la popularité a explosé ces dernières années, attirent des millions d'utilisateurs qui se communiquent, publient et partagent des informations et contenus à un rythme sans précédent. Outre les avantages reconnus, les réseaux sociaux ont également soulevé des problèmes divers. Nous sommes particulièrement intéressés par deux problèmes spécifiques : surcharge d'information et cloisonnement de données. Ces deux problèmes empêchent les utilisateurs d'exploiter pleinement et efficacement la richesse des informations poussées sur les réseaux sociaux. Les utilisateurs ont des difficultés pour filtrer tous les contenus reus, pour découvrir de nouveaux contenus au-delà de leurs réseaux personnels, et surtout pour partager les contenus intéressants avec leurs différents groupes d'intérêt. Pour aider les utilisateurs à surmonter ces difficultés, nous proposons une Approche centrée sur utilisateur et basée groupe pour filtrer et partager des données sociales. Cette nouvelle approche a un double objectif : (1) permettre aux utilisateurs d'agréger leurs données sociales en provenance de différents réseaux sociaux, d'en extraire des contenus de leur intérêt et (2) organiser et partager les contenus au sein de différents groupes. Les membres d'un groupe sont en outre en mesure de choisir quelle partie de leurs données à partager avec le groupe et définir collectivement les sujets d’intérêt de ce dernier. Pour implémenter l'approche proposée, nous spécifions une architecture de système comprenant plusieurs modules extensibles, et nous développons un prototype fonctionnel basé Web, appelé SoCoSys. Les résultats expérimentaux, obtenus des deux tests différents, valident les valeurs ajoutées de notre approche<br>The social media have played an increasingly important role in many areas of our every day life. Among others, social network sites such as Facebook, LinkedIn, Twitter and Google+ have recently exploded in popularity by attracting millions of users, who communicate with each other, share and publish information and contents at an unprecedented rate. Besides the recognized advantages, social network sites have also raised various issues and challenges. We are particularly interested in two of them, information overload and "walled gardens". These two problems prevent the users from fully and efficiently exploiting thewealth of information available on social network sites. The users have difficulties to filter all incoming contents, to discover additional contents from outside of their friend circles, and importantly to share interesting contents with their different groups of interest. For helping the users to overcome such difficulties, we propose a User-centered and group- based approach for social data filtering and sharing. This novel approach has a twofold purpose : (1) allow the users to aggregate their social data from different social network sites, and to extract from those data the contents of their interest, and (2) organize and share the contents within different groups. The members of a group are moreover able to choose which part of their social data to share with the group, and collectively define its topics of interest. To achieve the proposed approach, we define a modular system architecture including a number of extensible modules, and accordingly build a working Web-based prototype, called SoCoSys. The experimental results, obtained from the two different tests, confirm the added values of our approach
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Minor, Dale Michael. "An Evaluation of the completion and Recidivism Rates for a Collaborative Community - College Based Alcohol and Other Drug Offenders Diversion Program." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1188313072.
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MORABITO, FEDERICO GIUSEPPE. "Content-based publish/subscribe systems: architectures and algorithms." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2008. http://hdl.handle.net/2108/395.
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Publish/subscribe communication paradigm is an interaction paradigm suitable for a variety of large scale dynamic applications, requiring selective events diffusion or data notification: news delivery, stock quoting, on-line games, dissemination of multimedia contents, services and resources discovery, remote control of critical infrastructures and management of large scale systems are examples of systems requiring such reactive communication paradigm. Content-based publish/subscribe is the most promising version of publish/subscribe system: in such systems, users subscribe to content-based conditions, and will be notified about the published events that satisfy their expressed conditions. Content-based style subscriptions are highly expressive and flexible, permitting the users to specify complex filtering criteria along multiple dimensions of the events content. In contrast to their flexibility and expressiveness, scalable content-based publish/subscribe systems are difficult to implement and the proposed solutions are not always mature. In other words, one of the most fundamental requirement in the area of content-based pub/sub systems is to design scalable and efficient event dissemination mechanisms maintaining the expressiveness in the subscription language and the flexibility in the structures defining the events. In addition, most of existing pub/sub systems assume that actors involved in the subscriptions management have global knowledge about active subscriptions. This assumption limits the scalability of the existing approaches when they are dealing with large scale and dynamical systems. In this thesis, we research for algorithms and techniques that permit to build content-based pub/sub systems over efficient data dissemination structures.
The thesis consists on different kind of contributions.
First of all, a global and systematic analysis of the functionalities of the event service has been produced, critically describing the current solutions, the strengths and the weaknesses of the existing approaches.
In the second part, we propose innovative algorithms and architectures for pub/sub systems. We introduce novel approaches for content-based pub/sub systems, guaranteeing the expressiveness for any application domain and maintaining the scalability with respect to the number of participants and to the number subscriptions. The clustering functionality is designed to match application-level multicast techniques with content-based routing of events. We introduce clustering mechanisms (hierarchical and not hierarchical algorithms) in the event service to dynamically identify groups of users with similar preferences and to adapt these groups in the context of content-based publish/subscribe systems. One of the main feature of the proposed mechanism is the use of the system state knowledge sharing by system nodes, with the goal of limiting the system overhead in terms of computing, bandwidth and storage resources.
Gossiping and probabilistic techniques represent a potential and open research field that has been analyzed and described within this work. In high dynamical large scale systems, the dynamic and unpredictable behavior of the nodes can cause problems to be resolved with approaches more adaptive and robust to the fast and frequent system changes. An innovative solution for pub/sub systems is proposed relying on an unstructured overlay network where a variant of subscriptions flooding-based algorithm is adopted to face with highly dynamical environments.
Last contribution consists of examples of real applications that exploit the potentialities of the publish-subscribe paradigm model. We provide architectures based on the pub/sub models in the field of the infrastructures for monitoring critical systems and of the infrastructures for context-aware applications.
Keywords: clustering, multicast dissemination, broadcast dissemination, collaborative p2p approaches, structured and unstructured overlay networks, distributed systems evaluation, architectures based on pub/sub models.
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Tseng, Ching-Ju, and 曾靖茹. "Cluster-based Collaborative Filtering Recommendation Approach." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/21441009586246344227.
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碩士<br>國立中山大學<br>資訊管理學系研究所<br>91<br>Recommendation is not a new phenomenon arising from the digital era, but an existing social behavior in real life. Recommendation systems facilitate such natural social recommendation behavior and alleviate information overload facing individuals. Among different recommendation techniques proposed in the literature, the collaborative filtering approach is the most successful and widely adopted recommendation technique to date. However, the traditional collaborative filtering recommendation approach ignores proximities between items. That is, all user ratings on items are deemed identically important and given an equal weight in neighborhood formation process. In this study, we proposed a cluster-based collaborative filtering recommendation approach that takes into account the content similarities of items in the collaborative filtering process. Our empirical evaluation results show that the cluster-based collaborative filtering approach improves the prediction accuracy without sacrificing the prediction coverage, using those achieved by the traditional collaborative filtering approach as performance benchmarks. Due to the sparsity problem, when a prediction is made based on few neighbors, the cluster average method could achieve a better prediction accuracy than the proposed approach. Thus, we further proposed an enhanced cluster-based collaborative filtering approach that combines our approach and the cluster average method. The empirical results suggest that the enhanced approach could result in a prediction accuracy comparable to or even better than that accomplished by the cluster average method.
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Agrawal, Nitesh. "Novel Approach for Neighbourhood-based Collaborative Filtering." Thesis, 2015. http://ethesis.nitrkl.ac.in/7017/1/Novel_Approach_Agrawal_2015.pdf.
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Recommender systems hold an integral part in online marketing. It plays an important role for the websites that provide the users an environment to rate and review the products. Several methods can be used to make recommender systems, like content-based filtering, collaborative filtering [1], hybrid approach, which combines content-based as well as collaborative filtering. Collaborative filtering is the most widely used technique to deal with recommender systems. Matrix factorization and neighbourhood approach are the techniques that can be used while dealing with collaborative filtering. Both the methods depends on the ratings that the user has provided in the past. Here we concentrate on neighbourhood approach. Neighbourhood approach depends on the similarity between items [4] or similarity between users [5], depending on which prediction for an unrated item can be made. The similarity between users or similarity between items can be computed to provide recommendations. Some of the widely used techniques are the Pearson correlation, cosine-based similarity, adjusted cosine, etc. In this thesis a new approach to find similarity between items is used, here the similarity between items is calculated using a modified singularity measure. In this approach, the singularity of ratings provided by each user is taken into consideration [2]. By, using this method recommendation can be found with greater efficiency compared to other existing algorithms as this technique uses the contextual information present in the data.
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Lai, Ming-Tsung, and 賴民崇. "A bookmark-based website recommender system: A collaborative filtering approachA bookmark-based website recommender system: A collaborative filtering approach." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/69515704034162653413.
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碩士<br>長榮大學<br>經營管理研究所<br>93<br>In this study, we implement a bookmark-based website recommender system that uses the technique of collaborative filtering. The proposed system is divided into four major components, including (1) bookmark normalization, (2) user-similarity definition, (3) user clustering, and (4) personalized recommendation. First of all, we assume that each user’s web-surfing behavior can be recorded in a bookmark (i.e., My Favorite). The bookmark is then normalized through the use of Yahoo! Kimo web directory. We represent a bookmark as a tree structure and define the similarity between two trees. Therefore, the similarity between two bookmarks can be simplified as that between two trees; and the problem of user clustering can be also simplified as that of tree clustering. Finally, our system computes the importance of bookmark for the user from user’s groups and, according to its importance, the bookmarks are sorted.
According to experiments, our system is able to help users effectively collect necessary information. When a user updates his/her bookmark, our system will change his/her bookmark representation immediately and recommends more appropriate websites. In the future, enterprisers can grasp customers’ interests immediately and they will formulate different marketing strategies for providing users better and more flexible services.
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Azevedo, Diogo Pires de. "An integrative approach to diagram-based collaborative brainstorming." Master's thesis, 2011. http://hdl.handle.net/10348/2660.
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Dissertação de Mestrado em Engenharia Informática<br>The need for computer supported collaboration has grown over the last years and made collaboration processes an important factor within organizations. This trend has resulted in the development of a variety of tools and technologies to support the various forms of collaboration. Many collaborative processes, e.g. strategy building, scenario analysis, root cause analysis and requirements engineering, require various collaboration support tools. Within these synchronous collaborative applications to create, evaluate, elaborate, discuss, and revise graphical models, e.g. data flow, fishbone and brainstorming diagrams, play an important role. Currently, the necessary tools are not integrated and flexible enough to support such processes. In this thesis, we present a synchronous collaborative brainstorming diagram editor that is integrated in a flexible group support system. By this our approach goes beyond the current state of the art as we can be seamlessly integrated with other collaboration support tools such as text-based brainstorming or voting.<br>A necessidade de colaboração suportada por computador tem crescido nos últimos anos e fez dos processos colaborativos um factor importante dentro das organizações. Esta tendência resultou no desenvolvimento de uma variedade de ferramentas e tecnologias para apoiar as diversas formas de colaboração. Muitos processos colaborativos (por exemplo, análise estratégica, cenários de causa ou engenharia de requisitos), exigem o suporte de várias ferramentas de colaboração. Dentro destas aplicações colaborativas síncronas para criar, avaliar, elaborar, discutir e rever modelos gráficos destacam-se dois diagramas de fluxo de dados (data flow), diagrama “espinha de peixe” (fishbone diagrams) e brainstorming, desempenham um papel importante. Atualmente, as ferramentas necessárias não estão integradas e flexíveis o suficiente para suportar tais processos. Nesta dissertação, apresentamos um editor síncrono de diagramas de colaboração de brainstorming, integrado num sistema de apoio a grupos (GSS) flexível para este efeito. Assim, esta abordagem vai além do nosso estado da arte atual, uma vez que pode ser perfeitamente integrado com outras ferramentas de colaboração, tais como brainstorming baseado em texto ou sistemas de votação.
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Wang, Shao-Yu, and 王劭瑀. "A Discount-Based Approach for Collaborative Filtering Recommendation." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/74613518625920264436.
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碩士<br>國立中興大學<br>資訊科學與工程學系<br>103<br>Due to the rapid development of E-commerce, the number of online stores and that of products have been increasing drastically. Two issues have been raised in this regard: customers waste too much time browsing un-needed products, and the even more competition among online stores happens.
Personalized recommendation systems (PRS) are developed and considered as a solution to the first issue. PRS recommend customers products according to their interests, aiming to develop potential consumers, increase purchasing rates and to enhance customer royalty. To face the competition, online stores provide diversified promotion strategies. Yet, the current approaches to product recommendation are only based on consumers’preferences, rather than taking the discount of sale price into consideration, thus leading to insufficient incentives for customers to purchase.
The aim of this study is to prove that discounts really have impacts on the consumer purchase intention in online-purchasing, and that they have further effect on the accuracy of PRS. To fulfill this research aim, this study explicitly focuses on the cosmetic online-stores which sell mostly similar products and frequently launch promotions. It uses the price-pack deal and products prices as variables to exam the effects of discounts on the customer purchase intension.
This study also proposes the purchase-intension decision-tree and formula to incorporate into the collaborative filtering approach. A discount-based collaborative filtering (DB-CF) recommendation approach is thus established with benefits of aligning PRS with retailers’ promotion strategies, increasing the exposures of promoted products, facilitating customers’ decision making processes and improving the accuracy of PRS.
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Lu, Chia-Ju, and 呂佳如. "Item-level Trust-based Collaborative Filtering Approach to Recommender Systems." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/v57w34.
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碩士<br>國立中山大學<br>資訊管理學系研究所<br>96<br>With the rapid growth of Internet, more and more information is disseminated in the World Wide Web. It is therefore not an easy task to acquire desired information from the Web environment due to the information overload problem. To overcome this difficulty, two major methods, information retrieval and information filtering, arise. Recommender systems that employ information filtering techniques also emerge when the users’ requirements are too vague in mind to express explicitly as keywords.
Collaborative filtering (CF) refers to compare novel information with common interests shared by a group of people for recommendation purpose. But CF has major problem: sparsity. This problem refers to the situation that the coverage of ratings appears very sparse. With few data available, the user similarity employed in CF becomes unstable and thus unreliable in the recommendation process. Recently, several collaborative filtering variations arise to tackle the sparsity problem. One of them refers to the item-based CF as opposed to the traditional user-based CF. This approach focuses on the correlations of items based on users’ co-rating. Another popular variation is the trust-based CF. In such an approach, a second component, trust, is taken into account and employed in the recommendation process.
The objective of this research is thus to propose a hybrid approach that takes both advantages into account for better performance. We propose the item-level trust-based collaborative filtering (ITBCF) approach to alleviate the sparsity problem. We observe that ITBCF outperforms TBCF in every situation we consider. It therefore confirms our conjecture that the item-level trusts that consider neighbors can stabilize derived trust values, and thus improve the performance.
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Tolkach, Denis. "Community-based tourism in Timor-Leste: a collaborative network approach." Thesis, 2013. https://vuir.vu.edu.au/24383/.
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This thesis discusses the concept of community-based tourism (CBT), as an alternative approach to tourism development. CBT emphasises the central role of local communities in relation to tourism and places a stronger emphasis on the role of community development than is evident in other forms of tourism. To date few CBT projects have been successful in delivering socio-economic benefits for local communities. A review of the relevant tourism and community development literature indicates that collaborative networks may provide a viable means of assisting CBT to achieve greater benefits for local communities. The researcher proposes alternative network configurations and applicable CBT attributes. CBT has been developed in parts of rural Timor-Leste and offers a potential basis for developing sustainable forms of tourism. Timor-Leste is an oil dependent fledgling island nation and advocates of CBT confront a number of challenges. Using a multi-stage qualitative research approach, the present thesis explores stakeholder perceptions of the potential to establish a CBT network within Timor. The researcher adopts a constructivist approach to knowledge and the thesis is informed by critical theory, grounded theory, action research and elements of Delphi study methodology. It was found that the research participants were in broad agreement that CBT offers considerable potential for developing sustainable tourism and that the establishment of a network can address challenges such as lack of knowledge, funding and marketing. The thesis evaluates the range of research participants’ views about how the network structure might be developed. The potential CBT model is explored from the perspectives of neo-liberalism, neo-colonialism, social economy and community development. The research findings have particular applicability in the case of developing states, where tourism is only moderately developed.
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Hunag, Kuo-Chang, and 黃國彰. "Applying Folksonomy-Based Approach to Support Collaborative Testing of Web Applications." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/62419022737366836711.
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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>98<br>As the quantity and breadth of Web-based software systems continue to grow rapidly, assuring the quality and reliability of this software domain is becoming critical. Software testing processes, in general, are labor-intensive processes and involve substantial collaboration between testers, developers, and even users. Recently, many approaches have been proposed to address Web application testing and collaborative testing in software engineering domain. However, most collaborative testing tools just focus on testing processes and generating bug report. There are no tools supporting collaboration test with the consideration of communication requirement and testing resource constraints under test scheduling. Under Internet environment, there are a large amount of various and experienced human resource. And it is appropriate for collaborative testing of software functionality and usability by utilizing folk resource on the Internet. To test Web application with folk testers on Internet, we proposed a two-phase folksonomy-based approach to support collaboration and then constructed a prototype tool accordingly. The experimental results show that our approach is effective, and that the average reduction rate for testing effort is almost 90%.
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Wei, Shi-Yang, and 魏士仰. "Approach of Ontology-based New Product Development Support Collaborative Partner Evaluation." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/18507727368764575825.
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碩士<br>明志科技大學<br>工業工程與管理研究所<br>102<br>In the procedure of collaborative new product development, it will be able to solve many decision problems and bring enterprise sustainable competitive advantage if we effectively utilize, integrate and share knowledge of product and process. Therefore, the use of knowledge management approach to managing enterprise long accumulated experience and knowledge is necessary. Ontology, a core technology of Semantic Web, is often used in knowledge management. If we use ontology to describe the new product development process and product related knowledge, it will help to solve decision problems. We propose an approach of ontology-based new product development support collaborative partner evaluation. First, translating processes and metrics of Design Chain Operations Reference-model (DCOR) to Ontology Web Language(OWL). Second, using Semantic Web Rule Language(SWRL) and SPARQL Protocol and RDF Query Language(SPARQL) to inference and fetch knowledge. Finally, using Fuzzy Comprehensive Evaluation(FCE) and considering five collaboration related metrics to evaluate collaborative partner. Approach we present will help enterprise to integrate process knowledge, product knowledge and other resource to evaluate collaborative partner in new product development phase.
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Lee, Chia-Hsing, and 李佳馨. "Integration of Content-based approach and Hybrid Collaborative Filtering for Movie Recommendation." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/64f874.
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碩士<br>國立臺北科技大學<br>資訊與運籌管理研究所<br>101<br>As the scale of e-commerce continues to expand, personalized recommendation systems have been developed for general users in the hope of saving their search cost and time. In the core methods of personalized recommendation systems, collaborative filtering, one of the most widely-used recommended methods, still leaves two major problems. One is sparsity problem, the difficulty of finding similar users results in poor accuracy. The other is cold start, new users and new items make it hardly possible to estimate the preferences because of the lack of past ratings.
This work simulates a real environment for movie recommendation. In the case of considering the factors of the new users and new movies in the sparse rating matrix, we conduct a content-based approach based on movie genre to predict user ratings on new movies. Furthermore, we integrate the modification of similar measures in memory-based collaborative filtering with matrix factorization(model-based collaborative filtering). In experiments, we observe our methodology brought out a lower MAE in overall rating prediction. Finally, our approach has been shown to have better recommendation quality than basic collaborative filtering in different sparsity level dataset.
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Tsai, Sheng-Wei, and 蔡升偉. "An Issue-driven Requirement Management Approach in a Wiki-based Collaborative Environment." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/99882237258985624037.
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碩士<br>逢甲大學<br>資訊電機工程碩士在職專班<br>97<br>Requirements engineering plays an important role during software development. Even though a software system may deliver powerful functions, it is still not a successful product if user expectations can not be satisfied. To develop a software system that meets user requirements, one of the most important things is to facilitate the communication between the stakeholders in the project.
On the other hand, nowadays the development team is usually distributed in different locations; therefore the communication is done through the internet tools such as email, MSN, or blog. However, these tools can’t help stakeholders manage requirements, track issues and test their system. Some companies may build their own specific environment or product for communication and requirement management, but cost is too high.
To provide a distributed and flexible platform for requirement engineering in low cost, we propose an IRTMS methodology and wiki-based environment to address the problems. Issue, Requirement, Test, Module, and Schedule are five major concepts in our method to lead the system development. The communication between stakeholders starts from raising issues, discussing issues and ends with archiving issues to meet requirements. Since all issue discussions are recorded in the wiki, design rationales are well-understood and the conflicts are reduced. While handling requirements, their related test cases are established on the basis of test-first strategy. Developers and users can easily collaborate to refine and define the test case in the wiki environment. Once the test cases are defined, all following modules will be tested in an automatic manner. Moreover, the schedule for each requirement is defined in the wiki environment. Therefore, it can be easily tracked, monitored and revised.
In the thesis, we evaluate our approach by simulating a real project execution between Feng Chia University (FCU) in Taichung and A-University (alias name for privacy) in Taipei, where FCU is the development team and AU is the customer. Through the experiment, we can find our IRTMS method is contributive to distributed project management.
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Feng, Yu Tang, and 馮玉堂. "Considering Reader Value In Library Book Recommendations: A Collaborative Filtering-Based Approach." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/39331323347473487696.
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碩士<br>國立中正大學<br>資訊管理學系暨研究所<br>100<br>Recommended system in e-commerce plays a very important role, can help improve in sales, also able to provide personalized services from the past customers’ preferences and transactions, and increase customer satisfaction. In recent years, the library import recommendation system to increase the reader's willingness and solve the problem of library usage rate is not high, there are very good results. However, in the university library environment, readers borrowing motivation is different, such as course assignments or term papers need to find library materials, or borrow reference books during the examination period, so some of these acts can't really reflect the preferences of the reader .If the reader does not filtering, and direct use all reader's borrowing record into the recommended system of the book that to development the rules of books recommended system, will affect the quality of recommended books, and even ineffective recommendation.
To solve this problem, this study first identified the loyal readers from the Library borrowing record, use RFM model of marketing field to measure customer value, and analysis readers value that to find loyal readers, then use collaborative filtering technology forecast column scores of readers - books borrowing matrix, this study use MAE to measure the forecasts accuracy differences in have filtered loyal readers and unfiltered reader.