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Almerfors, Mattias. "Visualization of Personalization Information." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97829.
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There has been an increasing use of Internet as an information source and also as a new channel for business-to-business and business-to-consumer communication. This has lead to an increasing need for understanding web traffic and especially a growing need for analyzing this traffic, which demands new analysis tools. The objective for this study was to create an application framework for visualizing XML-formatted data representing web traffic reports. Visualization in two dimensions is created by using Batik, a Java ™ toolkit with the purpose of transforming a well formed XML document into a SVG document and then transcode this into an image format supported by today’s web browsers. Visualization in three dimensions is created by using the Java3D API. In order to create an aesthetically well-balanced graph in three dimensions representing a model of the web traffic on a site, the framework uses a layout algorithm called Graphical Embedder (GEM). This is a force-directed algorithm which uses physical analogy to model the graph. GEM emphasises the spring force approach combined with simulated annealing and the detection of oscillations and rotations. The design of the framework is built up using J2EE techniques. At the front-end this application framework uses JSP and Applet showing the graph for a customer using this service. At the back-end the framework uses Servlets combined with a Filter.
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Perugini, Saverio. "Program Transformations for Information Personalization." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/11196.
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Personalization constitutes the mechanisms and technologies necessary to customize information access to the end-user. It can be defined as the automatic adjustment of information content, structure, and presentation. The central thesis of this dissertation is that modeling interaction explicitly in a representation, and studying how partial information can be harnessed in it by program transformations to direct the flow of the interaction, can provide insight into, reveal opportunities for, and define a model for personalized interaction. To evaluate this thesis, a formal modeling methodology is developed for personalizing interactions with information systems, especially hierarchical hypermedia, based on program transformations. The predominant form of personalized interaction developed in this thesis is out-of-turn interaction, a technique which empowers the user to take the initiative in a user--system dialog by providing unsolicited, but relevant, information out-of-turn. Out-of-turn interaction helps flexibly bridge any mismatch between the user's model of information seeking and the system's hardwired hyperlink structure in a manner fundamentally different from extant solutions, such as multiple faceted browsing classifications and search tools. This capability is showcased through two interaction interfaces using alternate modalities to capture and communicate out-of-turn information to the underlying system: a toolbar embedded into a traditional browser for out-of-turn textual input and voice-enabled content pages for out-of-turn speech input. The specific research issues addressed involve identifying and developing representations and transformations suitable for general classes of hierarchical hypermedia, providing supplemental interactions for improving the personalized experience, and studying user's (out-of-turn) interactions with resulting systems.Ph. D.
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Paiu, Raluca. "Exploiting tag information for search and personalization." Hannover Technische Informationsbibliothek und Universitätsbibliothek Hannover, 2010. http://d-nb.info/1001050592/34.
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Paiu, Raluca [Verfasser]. "Exploiting tag information for search and personalization / Raluca Paiu." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover, 2010. http://d-nb.info/1001050592/34.
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Keidl, Markus. "Metadata management and context based personalization in distributed information systems." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=973069023.
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Wallin, Jonatan. "Optimization and personalization of a web service based on temporal information." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149712.
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Development in information and communication technology has increased the attention of personalization in the 21st century and the benefits to both marketers and customers are claimed to be many. The need to efficiently deliver personalized content in different web applications has increased the interest in the field of machine learning. In this thesis project, the aim is to develop a decision model that autonomously optimizes a commercial web service to increase the click through rate. The model should be based on previously collected data about previous usage of the web service. Different requirements for efficiency and storage must be fulfilled at the same time as the model should produce valuable results. An algorithm for a binary decision tree is presented in this report. The evolution of the binary tree is controlled by an entropy minimizing heuristic approach together with three specified stopping criteria. Tests on both synthetic and real data sets were performed to evaluate the accuracy and efficiency of the algorithm. The results showed that the running time is dominated by different parameters depending on the sizes of the test sets. The model is capable of capturing inherent patterns in the the available data.
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Xing, Xinyu. "Mitigating information manipulation." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54348.
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The advent of information services introduces many advantages, for example, in trade, production and services. While making important descisons today, people increasingly rely on the information gleaned from such services. Presumably, as such, information from these services has become a target of manipulation.
During the past decade, we have already observed many forms of information manipulation that misrepresents or alters reality. Some popular manipulation -- we have ever witnessed on the Internet -- include using black hat SEO techniques to drive up the ranking of a disreputable business, creating disinformative campaigns to conceal political dissidence, and employing less-than-honest product assessments to paint a rosy picture for inferior wares. Today, emerging web services and technologies greatly facilitated and enhanced people's lives. However, these innovations also enrich the arsenal of manipulators.
The sheer amount of online information available today can threaten to overwhelm any user. To help ensure that users do not drown in the flood of information, modern web services are increasing relying upon personalization to improve the quality of their customers' experience. At the same time, personalization also represents new ammunition for all manipulators seeking to steer user eyeballs, regardless of their intents. In this thesis, I demonstrate a new unforeseen manipulation that exploits the mechanisms and algorithms underlying personalization. To undermine the effect of such manipulation, this thesis also introduces two effective, efficient mitigation strategies that can be applied to a number of personalization services.
In addition to aforementioned personalization, increasingly prevalent browser extensions augment the ability to distort online information. In this thesis, I unveil an overlooked but widespread manipulation phenomenon in which miscreants abuse the privilege of browser extensions to tamper with the online advertisement presented to users. Considering that online advertising business is one of the primary approaches used to monetize free online services and applications available to users, and reckless ad manipulation may significantly roil advertising ecosystem, this thesis scrutinizes the potential effect of ad manipulation, and develops a technical approach to detect those browser extensions that falsify the ads presented to end users.
Although the thesis merely discusses several manipulation examples in the context of the Internet, the findings and technologies presented in this thesis introduce broad impacts. First, my research findings raise Internet users' awareness about pervasive information manipulation. Second, the proposed technologies help users alleviate the pernicious effects of existing information manipulation. Finally, accompanying the findings and technologies is publicly available open-source software and tools that will help an increasing number of users battle against the growing threat of information manipulation.
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Sulejmanovic, Nedim. "Handgjordasaker.se - Användarcentrerad anpassning." Thesis, University of Kalmar, School of Communication and Design, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-2109.
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Hemsidan handgjordasaker.se är en Internetmarknadsplats som tillhandahåller tjänsten för försäljning av handgjorda produkter. Detta projekt syftar till att ge förslag på hur anpassningar av hemsidans funktionalitet kan göras för att skapa en mer användarcentrerad hemsida. Genom att använda personifieringsprocesser har sidansgränssnitt presenterats på ett sätt som sätter användaren i fokus och med hjälp av utökade funktionaliteter erbjuder användaren möjlighet till att själv påverka och anpassa innehållet på hemsidan. Resultatet presenterades i form av ett ramverk för interaktiondär fokus låg på avdelningar med produkter och användarprofiler.
The webpage handgjordasaker.se is an online marketplace providing service for the saleof handmade products. This project aims to provide suggestions on how adaptations ofthe site's functionality can be done to create a more user-centered webpage. By usingpersonalization processes, sites interfaces is presented in a way that puts the user infocus and with the help of expanded functionality offers the user the opportunity toself-influence and adapt the content on the website. The results were presented in theform of a framework for the interaction where the focus was on products user profiles.
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Stampoultzis, Michael. "The use of XML schema and XSLT rules for product information personalization." Thesis, City University London, 2004. http://openaccess.city.ac.uk/8453/.
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This thesis describes research carried out in order to help solve the problem of personalization in e-commerce/CRM system. Web-based personalization consists of activities, such as providing customised information, that tailor the user's Web experience- browsing a Web site or purchasing a product, for example-to that user's particular needs. The main research objective of the project is to investigate how XSLT technologies can be used for the development of matching engines that find XML represented products that match the tastes, needs or requirements of customers as captured in customer profiles, also represented in XML. More specifically our research investigates into novel algorithms for transforming XML based product specifications using rules that derive from mining customer profiles with the purpose of customizing the product information.
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Toivonen, Elisa. "Surveillance? : The influence of information asymmetry on consumers’ perceptions of online personalization." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-22056.
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Data collection and online personalization has become essential part of modern marketing, and thus, embedded into consumer’s everyday life. This has emerged a lot of negative attention in the media and privacy concerns among consumers – however, their attitudes towards privacy seems to be controversial with lack of privacy enhancing behavior. The purpose of this study was to find out what is consumers take on online personalization, data collection and GDPR. In order to the tackle the causing reasons of such perceptions, focus group discussions were performed. The emerging thoughts were analyzed with the concepts of privacy paradox and information asymmetry – how structural imbalance between the advertisement network, companies and consumers impacted to their thinking about personalization and which factors caused the unwillingness to enhance one’s privacy, despite the attitudes that would predict different behavior. The results showed, that many respondents do not mind personalization if they perceive it relevant. However, the intrusive nature of its practices made the participants, directly or indirectly, reluctant towards it, as it was highlighted that it is not personalization per se that made the respondents uncomfortable, but how it was done. Due to the advertisement networks’ opaque nature, the participants founded challenging to comprehend how personalization was performed. Thus, conspiracy theories about surveillance, such as tapping via smartphone, were broad up to explain companies’ ability to know and target them so well. The main channel for companies to inform consumers about their privacy policy is terms and conditions. However, due to several reasons, the decision making for one’s privacy face many hinders, that may influence in how consumers perceive their privacy and how their personal data is collected and used. A controversiality between GDPR’s, companies’ and consumers’ view on privacy self-management is evident, as the regulation and companies rely too much on consumer’s own responsibility.
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Pahnila, S. (Seppo). "Assessing the usage of personalized web information systems." Doctoral thesis, University of Oulu, 2006. http://urn.fi/urn:isbn:9514281128.
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Abstract
The focus of this thesis is to assess factors which have an influence on the acceptance of personalized Web information systems (WIS). This study is primarily based on the widely used and accepted Technology Acceptance Model (TAM).
The qualitative part of the study presents an approach for developing dynamic Web information systems. The development process was based on the work done in the OWLA (Open Web/Wireless Adaptive Hypermedia Applications) research project in 2000–2002.
The quantitative part of the study, which includes the main objective of the study, is related to assessment of user acceptance of the given system. The researcher performed a field study in 2003 in which data was collected using a web questionnaire. The field study resulted in a sample size of 209 responses. Moreover we carried out a comparison with the 2002/2003 field study aiming to study possible differences in respondents' attitude toward personalization. The previous field study was carried out during the OWLA research project. The responses were analyzed using SPSS and AMOS.
Results of the quantitative part of the study show that the respondents accept personalization but they like to and want to adapt and personalize the content themselves. This was one of the most important findings of the study. Respondents do not want the system to provide content automatically; they want to control the content themselves. The results of the 2003 field study indicate that respondents do not consider layout adaptation, whether automatic or manual, to be important or desirable.
The formulated model reveals that perceived relevance is one of the most important aspects that have an effect on attitude toward using and intention to use the given IS. Perceived expectancy and intention to use the given WIS are significant antecedents of actual use. Perceived behavioral control and normative beliefs also have a significant effect on intention to use portal. Enjoyment has a significant effect on attitude.
Overall, we have identified in this study some significant factors which will provide useful information to IS practitioners studying the voluntary adoption of specific personalized systems. The results will also provide useful information for systems designers and will contribute towards assessing possible individual barriers to the use of personalized information systems. The study includes several proposals for future research including developing deeper understanding activities related to presented development approach, creating a more detailed view of factors which have an influence on the user's decision to use or not to use personalized information system, studying several systems.
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Clay, Paul F. "Factors contributing to user choice between codification and personalization-based knowledge management systems a task-technology fit perspective /." [Bloomington, Ind.] : Indiana University, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3219901.
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Thesis (Ph.D.)--Indiana University, Kelley School of Business, 2006.Source: Dissertation Abstracts International, Volume: 67-06, Section: A, page: 2227. Adviser: Alan R. Dennis. "Title from dissertation home page (viewed June 21, 2007)."
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Fan, Haiyan. "Web personalization - a typology, instrument, and a test of a predictive model." Thesis, [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1581.
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Sjöström, Josefin, and Juliana Moreira. "Rätt information vid rätt tillfälle The right information at the right time : En studie av individanpassning av informationsåtkomst på webbplatser An essay on personalization of information access on websites." Thesis, Södertörns högskola, Institutionen för kommunikation, medier och it, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-15045.
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Denna studie handlar om individanpassning av informationsåtkomst och syftet med studien är att underlätta för utvecklare som ska ta fram nya, individanpassade lösningar för webben. Denna studie koncentreras till Skatteverkets webbplats. Studien försöker hitta svar på frågan om aktiv individanpassning gör att det blir lättare för användare att hitta vad de söker. En prototyp med en aktiv individanpassning har skapat och sedan jämförts med Skatteverkets webbplats. Detta har gjorts med hjälp av observationer och en tillämpning av tänka-högt-metoden. I resultatet av observationerna har det framkommit att även om respondenterna hittade vad de sökte på kortare tid när det använde Skatteverkets webbplats upplevdes prototypen som lättare att använda. Slutsatsen att en aktiv individanpassning gör det lättare för användaren att hitta rätt information har dragits. En förutsättning för att skapa en aktiv individanpassning är även att man tar hänsyn till användarens behov, kontextualisering, kategorisering och filtrering.The subject of this essay is active personalization of information access. Its main goals are to make it easier for developers to create new, customized solutions for the web. The essay tries to find an answer to the question if personalization of information-access makes it easier for the user to find the information they need. The researchers developed a personalized-access prototype of the Swedish Tax Agency’s website and, through observations compared it with the original. The researchers applied the think-aloud-method in five observations documented as video recordings and observation schedules. In addition, a follow-up with a questionnaire was made after each observation in order to collect additional qualitative data. The observations showed that although the respondents found the information quickly at the Swedish Tax Agency’s website, they experienced the prototype as easier to use. The conclusion is that active personalization can make it easier for the users to find the right information, and that a prerequisite for creating an active personalization is that it takes better into account the user's needs by means of contextualization, categorization and filtering.
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Kapanipathi, Pavan. "Personalized and Adaptive Semantic Information Filtering for Social Media." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464541093.
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Khaled, Mélissa. "Learning styles, Personalization, and Learning Management Systems : Towards a Student-Centred LMS Approach." Thesis, Uppsala universitet, Institutionen för ABM, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447989.
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This study investigates existing learning management systems practices, in this case Canvas and Moodle in relation to user personalization and students’ learning styles as both factors are closely contribute to the design of a meaningful learning experience for learners. With the expansion of these teaching tools and methods, it seems crucial to determine to what extent they actually serve the learner and what role is really given to the student using these online platforms. Factors such as instructors’ feedback, peer communication, learning objects and follow-up will be examined. This study is anchored in a Swedish academic setting, and aims to provide a comprehensive overview of learners' needs, expectations, and preferences to benefit educational institutions as well as LMS developers. The goal is to assess how such factors play an essential role in the personalization of learning tools and to suggest that their consideration can lead to the development of more intuitive LMS platforms that do not solely rely on content uploaded by teachers, but that can in turn potentially offer relevant content tailored to each user.Den här uppsatsen undersöker befintliga praxis för lärande hanteringssystem, i detta fall Canvas och Moodle, i förhållande till användaranpassning och studenternas inlärningsstilar, eftersom båda faktorerna bidrar till utformningen av en meningsfull inlärningsupplevelse för studenterna. På grund av expansionen av dessa undervisningsverktyg verkar det avgörande att bestämma i vilken utsträckning de faktiskt tjänar inläraren och vilken roll studenten verkligen får när hen använder dessa plattformar. Faktorer som lärarnas återkoppling, kommunikation med andra elever, lärandeobjekt och uppföljning kommer att undersökas noggrant. Studien är förankrad i en svensk akademisk miljö och syftar att ge en heltäckande översikt av inlärarnas behov, förväntningar och preferenser. Målet är att förstå hur dessa faktorer spelar en väsentlig roll i personaliseringen av lärverktyg och att föreslå att deras beaktande kan leda till utveckling av mer intuitiva LMS-plattformar som inte enbart förlitar sig på innehåll som laddas upp av lärare, utan som i sin tur potentiellt kan erbjuda relevant innehåll som är skräddarsytt för varje användare.
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Kissimoto, Kumiko Oshio. "A influência da tecnologia da informação na estratégia de personalização nas empresas brasileiras." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/3/3136/tde-06042011-132054/.
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A internet introduziu uma nova economia a economia da era digital, em que todos os consumidores e empresas estão em rede. A economia tradicional foi fragmentada, convertendo cada vez mais os mercados de massa em mercados de nicho. E os impactos destas transformações podem ser sentidos nas estruturas organizacionais, no ambiente econômico e nas relações entre as pessoas. Diante destas transformações, as empresas têm repensado os seus modelos de negócios e suas estratégias competitivas. No centro destas transformações se encontra o cliente, antes visto como passivo, hoje é considerado um recurso e competência da companhia. Para atender a este novo fator, a estratégia de personalização tem sido adotada pelas companhias. A personalização visa atender à necessidade dos clientes de personalizar não apenas o produto fisicamente, mas a sua experiência no momento da compra. É neste contexto que este trabalho é desenvolvido, com o objetivo de buscar um melhor entendimento de como a Tecnologia da Informação tem impactado e influenciado os fatores que habilitam a estratégia de personalização. Para atingir o objetivo, inicialmente foi feita uma ampla pesquisa bibliografia para identificar os fatores que influenciam a personalização. Em seguida, através da abordagem de estudos de caso múltiplos foi investigado se estes fatores ocorriam empiricamente e como eles ocorriam. Os resultados encontrados permitiram identificar divergências e concordâncias nas afirmações encontradas na literatura, que ao final fornecem refinamento e a necessidade de uma maior reflexão sobre os fatores que tem influenciado e direcionado a personalização.The internet introduced a new economy the economy in the digital era, in which all the consumers and the companies are connected. The traditional economy was fragmented, converting the mass markets into niche markets. And these changes are impacting the organizational structures, the economic environment and the human relations. To cope with these transformations, companies have to rethink their business models and their competitive strategies. In the middle of these transformations is the customer, former seeing as passive, now is considered a company resource and a competence to pursue. In order to attend to this new factor, the personalization strategy has being adopted by the companies. The personalization\'s goal is to attend the customer\'s need for personalization, not only physically modifying the product, but creating their own experience in the buying process. This is the context where this research occurs, with the objective of achieving a better understanding about how the Information Technology impacts and influences the personalization strategy enablers. In order to achieve the objective, a broad literature research was initially made to identify the personalization influencing factors. Following, through a multiple case study approach, it was investigated if these factors could be found empirically and how they were occurring. The results allowed the identification of divergences and concordances in the facts found in literature that ultimately provides theory refinement and the necessity of a deeper reflection about the factors that are influencing and driving the personalization.
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Bobade, Kailas B. "Personalized Credential Negotiation Based on Policy Individualization in Federation." Kent State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=kent1259734008.
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Cox, Trissa. "Factors Associated with Behavioral Intention to Disclose Personal Information on Geosocial Networking Applications." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc115059/.
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Information privacy is a major concern for consumers adopting emerging technologies dependent on location-based services. This study sought to determine whether a relationship exists among factors of personalization, locatability, perceived playfulness, privacy concern and behavioral intention to disclose personal information for individuals using location-based, geosocial networking applications. Questionnaire responses from undergraduate students at a 4-year university provide insight into these relationships. Multiple regression results indicated that there was a statistically significant relationship between the four significant predictor variables and the dependent variable. Analysis of beta weights, structure coefficients, and commonality analysis shed light on the variance attributable to the predictor variables of the study. Findings provide understanding of the specific factors examined in the study and have implications for consumers, businesses, application designers, and policymakers. The results from this study contribute to an understanding of technology acceptance theory and offer insight into competing beliefs that may affect an individual’s behavioral intention to disclose personal information. Knowledge gained form the study may be useful for overcoming challenges related to consumer adoption of location-based services that require disclosure of personal information.
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Wallin, Erik Oskar. "Individual Information Adaptation Based on Content Description." Doctoral thesis, KTH, Numerical Analysis and Computer Science, NADA, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3710.
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Todays increasing information supply raises the needfor more effective and automated information processing whereindividual information adaptation (personalization) is onepossible solution. Earlier computer systems for personalizationlacked the ability to easily define and measure theeffectiveness of personalization efforts. Numerous projectsfailed to live up to the their expectations, and the demand forevaluation increased.
This thesis presents some underlying concepts and methodsfor implementing personalization in order to increase statedbusiness objectives. A personalization system was developedthat utilizes descriptions of information characteristics(metadata) to perform content based filtering in anon-intrusive way.
Most of the described measurement methods forpersonalization in the literature are focused on improving theutility for the customer. The evaluation function of thepersonalization system described in this thesis takes thebusiness operators standpoint and pragmatically focuseson one or a few measurable business objectives. In order toverify operation of the personalization system, a functioncalled bifurcation was created. The bifurcation functiondivides the customers stochastically into two or morecontrolled groups with different personalizationconfigurations. Bygiving one of the controlled groups apersonalization configuration that deactivates thepersonalization, a reference group is created. The referencegroup is used to measure quantitatively objectives bycomparison with the groups with active personalization.
Two different companies had their websites personalized andevaluated: one of Swedens largest recruitment servicesand the second largest Swedish daily newspaper. The purposewith the implementations was to define, measure, and increasethe business objectives. The results of the two case studiesshow that under propitious conditions, personalization can bemade to increase stated business objectives.
Keywords:metadata, semantic web, personalization,information adaptation, one-to-one marketing, evaluation,optimization, personification, customization,individualization, internet, content filtering, automation.
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Agbele, Kehinde Kayode. "Context-awareness for adaptive information retrieval systems." Thesis, University of the Western Cape, 2014. http://hdl.handle.net/11394/3845.
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Philosophiae Doctor - PhDThis research study investigates optimization of IRS to individual information needs in order of relevance. The research addressed development of algorithms that optimize the ranking of documents retrieved from IRS. In this thesis, we present two aspects of context-awareness in IR. Firstly, the design of context of information. The context of a query determines retrieved information relevance. Thus, executing the same query in diverse contexts often leads to diverse result rankings. Secondly, the relevant context aspects should be incorporated in a way that supports the knowledge domain representing users’ interests. In this thesis, the use of evolutionary algorithms is incorporated to improve the effectiveness of IRS. A context-based information retrieval system is developed whose retrieval effectiveness is evaluated using precision and recall metrics. The results demonstrate how to use attributes from user interaction behaviour to improve the IR effectiveness
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Kim, Seonho. "Visualizing Users, User Communities, and Usage Trends in Complex Information Systems Using Implicit Rating Data." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/27286.
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Research on personalization, including recommender systems, focuses on applications such as in online shopping malls and simple information systems. These systems consider user profile and item information obtained from data explicitly entered by users. There it is possible to classify items involved and to personalize based on a direct mapping from user or user group to item or item group. However, in complex, dynamic, and professional information systems, such as digital libraries, additional capabilities are needed to achieve personalization to support their distinctive features: large numbers of digital objects, dynamic updates, sparse rating data, biased rating data on specific items, and challenges in getting explicit rating data from users. For this reason, more research on implicit rating data is recommended, because it is easy to obtain, suffers less from terminology issues, is more informative, and contains more user-centered information. In previous reports on my doctoral work, I discussed collecting, storing, processing, and utilizing implicit rating data of digital libraries for analysis and decision support. This dissertation presents a visualization tool, VUDM (Visual User-model Data Mining tool), utilizing implicit rating data, to demonstrate the effectiveness of implicit rating data in characterizing users, user communities, and usage trends of digital libraries. The results of user studies, performed both with typical end-users and with library experts, to test the usefulness of VUDM, support that implicit rating data is useful and can be utilized for digital library analysis software, so that both end users and experts can benefit.Ph. D.
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Khoury, Vanessa El. "Semantic protection and personalization of video content PIAF : MPEG compliant adaptation framework preserving the user perceived quality." Thesis, Lyon, INSA, 2013. http://www.theses.fr/2013ISAL0086/document.
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Dans cette thèse, nous proposons un framework d’adaptation appelé "Personalized vIdeo Adaptation Framework" (PIAF) conçu à partir des standards MPEG. PIAF intègre les contraintes sémantiques et vise à maximiser la qualité perçue par l’utilisateur lors de la visualisation de la vidéo tout en respectant les droits de propriété intellectuelle. Les contributions de cette thèse peuvent être résumées comme suit. Dans un premier temps, nous avons utilisé et étendu les standards MPEG-7 et MPEG-21 afin de représenter les préférences des utilisateurs. Nous avons ensuite proposé un modèle formel du processus d’adaptation sémantique d’une vidéo et défini une fonction d’utilité régissant le mécanisme de prise de décision du MPDA. Cette fonction tient compte de différentes dimensions de qualité (qualité perceptuelle, sémantique, temps d’exécution nécessaire) afin d’évaluer quantitativement la qualité d’un plan d’adaptation. Le processus d’adaptation que nous proposons intègre les droits de propriété intellectuelle dans le processus de décision. Dans certains cas, le plan d’adaptation qui produirait la vidéo de meilleure qualité adaptée aux préférences de l’utilisateur peut être inapplicable car il ne respecte pas les contraintes du propriétaire. Trouver le meilleur plan d’adaptation devient alors un problème NP-complet. Nous avons proposé une solution pratique à ce problème sous la forme d’une heuristique capable de sélectionner un plan très proche de l’optimum en un temps de calcul raisonnable. Afin d’implémenter ce framework, nous avons également développé un outil d’annotation sémantique de contenu vidéo (SVCAT) qui produit des annotations sémantiques structurelles et de haut niveau selon un modèle objet basé sur du contenu vidéo. Nous avons validé nos travaux avec des évaluations qualitatives et quantitatives qui nous ont permis d’étudier la performance et l'efficacité du MPDA. Nous avons validé nos travaux avec des évaluations qualitatives et quantitatives qui nous ont permis d’étudier la performance et l'efficacité du MPDA. Les résultats obtenus démontrent que la fonction d’utilité proposée présente une forte corrélation avec les évaluations subjectives fournies par des utilisateurs concernant la qualité d’une vidéo adaptée, et constitue donc une base tout à fait pertinente pour le MPDAUniversal Multimedia Experience (UME) is the notion that a user should receive informative adapted content anytime and anywhere. Personalization of videos, which adapts their content according to user preferences, is a vital aspect of achieving the UME vision. User preferences can be translated into several types of constraints that must be considered by the adaptation process, including semantic constraints directly related to the content of the video. The overall goal of this adaptation process is to provide users with adapted content that maximizes their Quality of Experience (QoE). This QoE depends at the same time on the level of the user's satisfaction in perceiving the adapted content, the amount of knowledge assimilated by them, and the adaptation execution time. In video adaptation frameworks, the Adaptation Decision Taking Engine (ADTE), is responsible for achieving this goal. The task of the ADTE is challenging as many adaptation operations can satisfy the same semantic constraint, and thus arising in several feasible adaptation plans. Indeed, for each entity to be adapted, the ADTE must decide on the adequate adaptation operator that satisfies the user's preferences while maximizing his/her quality of experience. The first challenge to achieve in this is to objectively measure the quality of the adapted video, while considering the multiple aspects of the QoE. The second challenge is to assess beforehand this quality in order to choose the most appropriate adaptation plan among all possible ones. The third challenge is to resolve conflicting or overlapping semantic constraints, in particular conflicts arising from constraints expressed by owner's intellectual property rights (IPR) about the modification of the content. In this thesis, we tackled the aforementioned challenges by proposing a Utility Function (UF), which integrates semantic concerns with user's perceptual considerations. This UF models the relationships among adaptation operations, user preferences, and the quality of the video content. We integrated this UF into an ADTE. This ADTE performs a multi-level piecewise reasoning to choose the adaptation plan that maximizes the user-perceived quality. Furthermore, we included IPR in the adaptation process. Thereby, we modeled content owner constraints, and proposed a heuristic to resolve conflicting user and owner constraints. More, we developed SVCAT, which produces structural and high-level semantic annotation according to an original object-based video content model. We modeled as well the user's preferences proposing extensions to MPEG-7 and MPEG-21. All the developed contributions were carried out as part of a coherent framework called PIAF. We validated this research with qualitative and quantitative evaluations, which assess the performance and the efficiency of the proposed adaptation decision-taking engine within PIAF
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Zhao, Jianxin. "Making Digital Libraries Flexible, Scalable and Reliable: Reengineering the MARIAN System in JAVA." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/78146.
Full textAbstract:
There is a great need for digital libraries that are flexible, scalable, and reliable. Few such systems exist. Little is known about how to build them. This thesis addresses these problems by enhancing a prototype digital library system with the aim of making it more flexible, scalable, and reliable.
We hypothesize that: 1) adding a new (user information) layer and maintaining weak coupling in the design of a digital library system can help achieve system flexibility; 2) optimizing network connection usage and facilitating distribution of computation and disk operations in system design can help achieve system scalability; and 3) applying good software processes can help university students produce a very reliable system.
Approaches based on the above hypothesis were used in the project of Reengineering the MARIAN System in Java. The results of the project and experiments verified the correctness of the hypothesis.
The results of this thesis may help inform future digital library design and implementation projects to produce flexible, scalable, and reliable systems.Master of Science
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Atanga, Barbara Apaalabono. "Assessing the impact of smart tourism on the accessibility of people living with mobility disabilities." Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1586688586285019.
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Asfari, Ounas. "Personalized Access to Contextual Information by using an Assistant for Query Reformulation." Thesis, Paris 11, 2011. http://www.theses.fr/2011PA112126.
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Les travaux présentés dans cette thèse rentrent dans le cadre de la Recherche d'Information (RI) et s'intéressent à une des questions de recherche actuellement en vogue dans ce domaine: la prise en compte du contexte de l'utilisateur pendant sa quête de l'information pertinente. Nous proposons une approche originale de reformulation automatique de requêtes basée sur le profil utilisateur et sa tâche actuelle. Plus précisément, notre approche tient compte deux éléments du contexte, les centres d'intérêts de l'utilisateur (son profil) et la tâche qu'il réalise, pour suggérer des requêtes appropriées à son contexte. Nous proposons, en particulier, toute une démarche originale permettant de bien interpréter et réécrire la requête initiale en fonction des activités réalisées dans la tâche courante de l'utilisateur.Nous considérons qu'une tâche est jalonnée par des activités, nous proposons alors d'interpréter le besoin de l'utilisateur, représenté initialement par la requête, selon ses activités actuelles dans la tâche (et son profil) et de suggérer des reformulations de requêtes appropriées à ces activités.Une implémentation de cette approche est faite, et elle est suivie d’une étude expérimentale. Nous proposons également une procédure d'évaluation qui tient compte l'évaluation des termes d'expansion, et l'évaluation des résultats retournés en utilisant les requêtes reformulées, appelés SRQ State Reformulated Query. Donc, trois facteurs d’évaluation sont proposés sur lesquels nous nous appuierons pour l'analyse et l'évaluation des résultats. L’objective est de quantifier l'amélioration apportée par notre système dans certains contextes par rapport aux autres systèmes. Nous prouvons que notre approche qui prend en compte la tâche actuelle de l'utilisateur est effectivement plus performante que les approches basées, soit uniquement sur la requête initiale, ou encore celle basée sur la requête reformulée en considérant uniquement le profil de l'utilisateurAccess to relevant information adapted to the needs and the context of the user is areal challenge in Web Search, owing to the increases of heterogeneous resources andthe varied data on the web. There are always certain needs behind the user query,these queries are often ambiguous and shortened, and thus we need to handle thesequeries intelligently to satisfy the user’s needs. For improving user query processing,we present a context-based hybrid method for query expansion that automaticallygenerates new reformulated queries in order to guide the information retrieval systemto provide context-based personalized results depending on the user profile andhis/her context. Here, we consider the user context as the actual state of the task thatthe user is undertaking when the information retrieval process takes place. Thus StateReformulated Queries (SRQ) are generated according to the task states and the userprofile which is constructed by considering related concepts from existing concepts ina domain ontology. Using a task model, we will show that it is possible to determinethe user’s current task automatically. We present an experimental study in order toquantify the improvement provided by our system compared to the direct querying ofa search engine without reformulation, or compared to the personalized reformulationbased on a user profile only. The Preliminary results have proved the relevance of ourapproach in certain contexts
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West, Saga, and Phatchana Srinin. "Targeted content - a case study on increasing online user engagement." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43346.
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The data generated from the user's activities and surfing online can have a significant impact when used to improve the content of web pages. The user has little time to scan the content of a web page and the motivation to save time is high. Recommendations and personalized content are becoming more and more common and both businesses and consumers seem to benefit from more targeted content. In order to know what recommendations to present to each individual, information about the user is needed and there are many tools to analyze the behaviours of the users online. In this study, we examined if relevant content on the front-page of Visma, a business software provider, can increase the interaction on the front-page and what metrics can be used to measure the interaction. Together with experts in the field we investigated the eAccounting software users’ preferences for targeted recommendations. By having a pop up survey for users of Visma, conducting an A/B test and using a heatmap for the eAccounting users we found out that a more customized front-page makes the user interact more with the page.
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Hadjouni, Krir Myriam. "Un système de recherche d’information personnalisée basé sur la modélisation multidimensionnelle de l’utilisateur." Thesis, Paris 11, 2012. http://www.theses.fr/2012PA112164/document.
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Depuis l'explosion du Web, la Recherche d'Information (RI) s'est vue étendue et les moteurs de recherche sur le Web ont vu le jour. Les méthodes classiques de la RI, surtout destinées à des recherches textuelles simples, se sont retrouvées face à des documents de différents formats et des contenus riches. L'utilisateur, en réponse à cette avancée, est devenu plus exigeant quant aux résultats retournés par les systèmes de RI. La personnalisation tente de répondre à ces exigences en ayant pour objectif principal l'amélioration des résultats retournés à l'utilisateur en fonction de sa perception et de ses intérêts ainsi que de ses préférences. Le présent travail de thèse se situe à la croisée des différents aspects présentés et couvre cette problématique. Elle a pour objectif principal de proposer des solutions nouvelles et efficaces à cette problématique. Pour atteindre cet objectif, un système de personnalisation de la recherche spatiale et sémantique sur le Web et intégrant la modélisation de l'utilisateur, a été proposé. Ce système comprend deux volets : 1/ la modélisation de l'utilisateur ; 2/ la collaboration implicite des utilisateurs à travers la construction d'un réseau de modèles utilisateurs, construit itérativement lors des différentes recherches effectuées en ligne. Un prototype supportant le système proposé a été développé afin d'expérimenter et d'évaluer l'ensemble de la proposition. Ainsi, nous avons effectué un ensemble d'évaluation, dont les principales sont : a) l'évaluation de la qualité du modèle de l'utilisateur ; b) l'évaluation de l'efficacité de la recherche d'information ; c) l’évaluation de l'efficacité de la recherche d'information intégrant les informations spatiales ; d) l'évaluation de la recherche exploitant le réseau d'utilisateurs. Les expérimentations menées montrent une amélioration de la personnalisation des résultats présentés par rapport à ceux obtenus par d'autres moteurs de rechercheThe web explosion has led Information Retrieval (IR) to be extended and web search engines emergence. The conventional IR methods, usually intended for simple textual searches, faced new documents types and rich and scalable contents. The users, facing these evolutions, ask more for IR systems search results quality. In this context, the personalization main objective is improving results returned to the end user based sing on its perception and its interests and preferences. This thesis context is concerned with these different aspects. Its main objective is to propose new and effective solutions to the personalization problem. To achieve this goal, a spatial and semantic web personalization system integrating implicit user modeling is proposed. This system has two components: 1/ user modeling; /2 implicit users' collaboration through the construction of a users' models network. A system prototype was developed for the evaluation purpose that contains: a) user model quality evaluation; b) information retrieval quality evaluation; c) information retrieval quality evaluation with the spatial user model data; d) information retrieval quality evaluation with the whole user model data and the users' models network. Experiments showed amelioration in the personalized search results compared to a baseline web search
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Duzgun, Sayil. "Borgo: Book Recommender For Reading Groups." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614026/index.pdf.
Full textAbstract:
With the increasing amount of data on web, people start to need tools which will help
them to deal with the most significant ones among the thousands. The idea of a
system which recommends items to its users emerged to fulfill this inevitable need.
But most of the recommender systems make recommendations for individuals. On
the other hand, some people need recommendation for items which they will use or
for activities which they will attend together. Group recommenders serve for these
purposes. Group recommenders diverge from individual recommenders such that
they need to aggregate members of the group in a joint model, and in order to do so,
they need a user satisfaction function. There are two different aggregation methods
and a few different satisfaction functions for group recommendation process. Reading
groups domain is a new domain for group recommenders. In this thesis we propose a
web based group recommender system which is called BoRGo: Book Recommender
for Reading Groups , for reading groups domain. BoRGo uses a new information
filtering technique and present a media for post recommendation processes. We
present comparative evaluation results of this new technique in this thesis.
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Johansson, Axel, and Jonas Wikström. "Customer segmentation using machine learning." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-443868.
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In this thesis, the process of developing an application for segmenting customers with the use of machine learning is described. The project was carried out at a company which provides a booking platform for beauty and health services. Data about customers were analyzed and processed in order to train two classification models able to segment customers into three different customer groups. The performance of the two models, a Logistic Regression model and a Support Vector Classifier, were evaluated with different numbers of features and compared to classifications made by human experts working at the company. The results shows that the logistic regression model achieved an accuracy of 71% when classifying users into the three groups, which was more accurate than the experts manual classification. A web API where the model is provided has been developed and presented to the company. The results of the study showed that machine learning is a useful technique for performing customer segmentation based on behavioral data. Even in the case where the classes are not naturally divisible, the application provides valuable insights on user behaviour that can help the company become more data-driven.
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Hannel, Kelly. "Um método e suas práticas pedagógicas para atingir a aprendizagem significativa." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/168825.
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As melhorias alcançadas na Educação através do uso das tecnologias de informação e comunicação são inegáveis. Entretanto, os avanços em direção a um ensino personalizado e direcionado às preferências, ao nivelamento (saneamento das dificuldades e pré-requisitos de conteúdo) e aos interesses dos estudantes são pequenos. Desta forma, através da identificação dos conhecimentos prévios dos alunos, bem como dos conteúdos (conceituais) buscou-se aprimorar o processo de ensino para que cada aluno alcance, a seu modo (de forma personalizada) o aprendizado e possa avançar na disciplina/ano em questão. Como é humanamente impossível um professor conhecer as características e dificuldades de conteúdo de todos os seus alunos, é interessante que o ambiente virtual que apoia o professor possa auxiliar para um atendimento mais personalizado, permitindo que o aluno interaja no seu próprio ritmo de estudo, acesse os conteúdos necessários ou aprofunde-se em algum conteúdo que ele já domine. Esta tese propõe um método de uso das ferramentas disponíveis de ambientes virtuais, principalmente do MOODLE, para alcançar a personalização do ensino e conduzir o aluno em sua própria trajetória individual rumo ao aprendizado significativo, sanando dificuldades de conteúdo. Seguindo o objetivo de melhorar a qualidade do ensino sem necessidade de grade investimento de desenvolvimento de ambiente nem aporte financeiro. Para validar o método foi realizado um projeto piloto mais dois experimentos, todos no Colégio Militar de Porto Alegre que totalizaram a participação de 256 alunos. Os resultados demonstraram a viabilidade do método, medido através da melhora nas notas (análise quantitativa) e da análise qualitativa dos dados e dos questionários (respondidos pelos alunos e professores). Destaca-se como vantagem educacional o desenvolvimento do método que pode ser aplicado a qualquer disciplina ou modelo de ensino e como vantagem computacional o uso do MOODLE para personalizar o ensino.The use of information and communication technologies made undeniable advances in education. However, advances towards personalized learning and directed to the preferences, the leveling (improvement of difficulties and prerequisites) and to the interests of students are small yet. Thus, it is intended, by identifying the students' prior knowledge and content (conceptual) to improve the process so that each student reach, at their mode (personalized) the learning and make progress in discipline/year in question. We know that is humanly impossible for a teacher to know the characteristics and difficulties of content of all his students. So, the virtual environment that supports the teacher should have the flexibility to customize interactions with each student, which allows the student to interact at his/her own study pace, access the necessary content or deepen in some content that he/she has mastered. This thesis proposes a method for using the available virtual environments tools, especially the MOODLE, to achieve the personalization of teaching and to lead the student in his own individual trajectory toward meaningful learning, healing content difficulties. Following the objective of improving the quality of education without the need for large investment in environmental development or financial contribution. To validate the method was carried out a pilot project plus two experiments, all occurred at Military College of Porto Alegre, with a total of 256 students. The results showed the viability of the method, measured by the improvement in grades (quantitative analysis) and the qualitative analysis of data and questionnaires (answered by students and teachers). It is highlighted as an educational advantage, the development of the method that can be applied to any discipline or teaching model and as computational advantage, the use of MOODLE to customize teaching.
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Brost, Ludvig, Daniel Ludwiszewski, and Ted Oskarsson. "Personlig anpassning vid e-postmarknadsföring : Framställningens och kundrelationens betydelse." Thesis, Jönköping University, JIBS, Business Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-123.
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Bakgrund: Företag som huvudsakligen agerar med Internet som kontaktkanal möter sällan eller aldrig sina kunder fysiskt, vilket leder till ett behov av att komplettera frånvaron av fysisk kontakt med andra former av kommunikation. Som lösning på detta problem har företag börjat tillämpa personligt anpassad e-postmarknadsföring vid kontakt med konsumenter för att bättre tillgodose kunders behov av relevant information. Samtidigt som personlig anpassning ger möjligheten att erbjuda kunden mervärde och öka kundens lojalitet kan också kunden uppfatta tekniken som falsk och konstruerad. Otillräcklig kunskap om konsumenters värderingar i frågor som berör personlig anpassning av e-post kan leda till att företag får svårt att knyta sig till potentiella kunder samt behålla befintliga kunder.
Syfte: Syftet med uppsatsen är att undersöka till vilken grad e-handelskonsumenter föredrar personligt anpassade e-postutskick, hur e-postutskick bör framställas samt vilken betydelse konsumentens relation till företaget har. Detta ska resultera i rekommendationer till företag som genom personlig anpassning vill utveckla sin e-handelsstrategi.
Metod: För att kunna bekräfta eller förkasta de uppsatta hypoteserna tar uppsatsen ett hypotetiskt deduktivt angreppssätt. En kvantitativ enkätundersökning används för att samla in empirisk data vilken har analyserats statistiskt med hjälp av t-test. Undersökningens population omfattar ett e-handelsföretags kunder.
Resultat: Uppsatsens empiriska studie visar att e-handelskonsumenter av manligt kön föredrar personligt anpassade e-postutskick framför opersonliga e postutskick. I allmänhet uppfattas personlig anpassning som relevanshö-jande teknik, särskilt om den personliga anpassningen är genuin och om konsumenten tidigare uttryckligen angett sitt intresse för e-postutskicket. I uppsatsen studeras våra resultat närmare för att identifiera i vilka situationer som e-handlarnas värderingar skiljer sig åt. Företag bör beakta att kunden är mer öppen för personlig anpassning av e postutskick när denne har kontroll över hur företaget tillämpar den personliga anpassningen. Demografiska faktorer som utbildningsnivå och till viss del geografisk lokalisering har ock-så betydelse för hur personlig anpassning uppfattas.
Background: Companies that primarily act with Internet as channel of contact meet their customers in real life very rarely or never, which creates a need to complement the absence of physical contact with other forms of communication. As a solution to this problem companies have begun to implement personalized e-mail marketing in order to better satisfy customers’ need for relevant information. Still, as personalization gives the possibility to offer the customer added value while increasing the customer loyalty, the technology can also be perceived as deceitful and artificial. Insufficient knowledge regarding the customers’ perception of issues that concern personalization can result in difficulties for companies to attract new and retain existing customers.
Purpose: The purpose of the thesis is to study to what extent e-consumers prefer personalized e-mail marketing, how e-mail campaigns should be created and what significance the relation has between consumers and companies. This is expected to result in recommendations to e-tailors that want to develop their business through the use of personalization in their e-mail marketing efforts.
Method: In order to be able to verify or to falsify the set hypotheses, the research takes a hypothetical deductive approach. A quantitative survey has been used to collect the empirical data which has been statistically analyzed with the use of t-tests. The research population consists of the customers of an e-tailor.
Conclusions: The empirical study shows that male e-consumers prefer personalized e mail marketing more than non-personalized e-mail marketing. Personalization is in general perceived as a technique to increase the level of relevance of the e-mail, thus being looked upon as added value, especially when the technique is genuine and if the consumer explicitly has given his or hers area of interest for the e-mail campaigns. In the thesis the research results are studied closer in order to investigate in which situations opinions part. Companies should also consider that customers are more open towards personalized e-mail marketing when she or he has control over how the companies apply personalization. Demographic factors such as level of education and to a certain extent geographical location also have an impact on how personalization is perceived.
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Azak, Mustafa. "Crossing: A Framework To Develop Knowledge-based Recommenders In Cross Domains." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611614/index.pdf.
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Over the last decade, excess amount of information is being provided on the web and information filtering systems such as recommender systems have become one of the most important technologies to overcome the &bdquoInformation Overload&
#8223
problem by providing personalized services to users. Several researches have been made to improve quality of recommendations and provide maximum user satisfaction within a single domain based on the domain specific knowledge. However, the current infrastructures of the recommender systems cannot provide the complete mechanisms to meet user needs in several domains and recommender systems show poor performance in cross-domain item recommendations. Within this thesis work, a dynamic framework is proposed which differs from the previous works as it focuses on the easy development of knowledge-based recommenders and it proposes an intensive cross domain capability with the help of domain knowledge. The framework has a generic and flexible structure that data models and user interfaces are generated based on ontologies. New recommendation domains can be integrated to the framework easily in order to improve recommendation diversity. The cross-domain recommendation is accomplished via an abstraction in domain features if the direct matching of the domain features is not possible when the domains are not very close to each other.
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Meguebli, Youssef. "Leveraging User-Generated Content for Enhancing and Personalizing News Recommendation." Thesis, CentraleSupélec, 2015. http://www.theses.fr/2015SUPL0007/document.
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La motivation principale de cette thèse est de proposer un système de recommandation personnalisé pour les plateformes d’informations. Pour cela, nous avons démontré que les opinions peuvent constituer un descripteur efficace pour améliorer la qualité de la recommandation. Au cours de cette thèse, nous avons abordé ce problème en proposant trois contributions principales. Tout d’abord, nous avons proposé un modèle de profil qui décrit avec précision les intérêts des utilisateurs ainsi que le contenu des articles de presse. Le modèle de profil proposé repose sur trois éléments : les entités nommées, les aspects et les sentiments. Nous avons testé notre modèle de profil sur les trois applications différentes que sont l’identification des orientations politiques des utilisateurs, la recommandation personnalisée des articles de presse et enfin la diversification de la liste des articles recommandés. Deuxièmement, nous avons proposé une approche de classement des opinions permettant de filtrer et sélectionner seulement les opinions pertinentes. Pour cela, nous avons utilisé une variation de la technique de PageRank pour définir le score de chaque opinion. Les résultats montrent que notre approche surpasse deux approches récemment proposées pour le classement des opinions. Troisièmement, nous avons étudié différentes façons d’enrichir le contenu des articles de presse par les opinions : par toutes les opinions, par seulement le topk des opinions, et enfin par un ensemble d’opinions diversifiées. Les résultats montrent que l’enrichissement des contenus des articles de presseIn this thesis, we have investigated how to exploit user-generated-content for personalized news recommendation purpose. The intuition behind this line of research is that the opinions provided by users, on news websites, represent a strong indicator about their profiles. We have addressed this problem by proposing three main contributions. Firstly, we have proposed a profile model that accurately describes both users’ interests and news article contents. The profile model was tested on three different applications ranging from identifying the political orientation of users to the context of news recommendation and the diversification of the list of recommended news articles. Results show that our profile model give much better results compared to state-of-the-art models. Secondly, we have investigated the problem of noise on opinions and how we can retrieve only relevant opinions in response to a given query.The proposed opinion ranking strategy is based on users’ debates features. We have used a variation of PageRank technique to define the score of each opinion. Results show that our approach outperforms two recent proposed opinions ranking strategies, particularly for controversial topics. Thirdly, we have investigated different ways of leveraging opinions on news article contents including all opinions, topk opinions based on opinion ranking strategy, and a set of diverse opinion. To extract a list of diverse opinions, we have employed a variation of an existing opinion diversification model. Results show that diverse opinions give the best performance over other leveraging strategies
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Wedberg, Ludvig. "Generation Y and digital banking : How can traditional Swedish retail banks address the needs and behavior of Generation Y in digital banking?" Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254989.
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The financial sector is transforming as a result of PSD2 and open banking. The traditional retail banks face new competition from FinTechs and BigTechs. 78 percent of Nordic banks are concerned by the threat of disruption and 88 percent think that they need to rethink their business model. Customer experience and customer journeys are crucial as customer expectations is one of the major driving forces for the changing industry.Generation Y (1989 2000) is often defined as early adopters and digital natives which makes them an important but challenging customer segment. According to the Millennial Disruption Index, the banking industry is at the highest risk of disruption from generation Y. This study focus on how traditional Swedish retail banks can manage digital transformation and the needs and behavior of the Swedish generation Y. To identify the needs and demands of generation Y, four focus groups was conducted with 31 participants and four semi-structured interviews. The results was analyzed and related to a customer journey framework and the concept of platform banking.The results indicate that the Swedish generation Y demands personalized services and products as well as tailored Omni-channel experiences. They demand an expansion of financial services in the form of a “one-stop-shop”. In order to meet these demands, traditional Swedish retail banks must utilize their customer data and weight the Swedish generation Y´s trust in their security. This will enable them to develop superior customer experiences as well as extending their context and establish themselves as banking platforms.Den finansiella sektorn förändras till följd av PSD2 och open banking. De traditionella bankerna möter ny konkurrens från FinTechs och BigTechs. 78 procent av de nordiska bankerna är oroade av förändringarna och 88 procent tycker att de behöver ompröva sin affärsmodell. Kundupplevelser och kundresor är avgörande eftersom kundernas förväntningar är en av de viktigaste drivkrafterna för den föränderliga industrin.Generation Y (1989 2000) definieras ofta som digitala pionjärer vilket gör dem till ett viktigt men utmanande kundsegment. Enligt studien ”Millennial Disruption Index” har banksektorn den högsta risken för störningar från Generation Y. Denna studie fokuserar på hur traditionella svenska banker kan hantera digital transformation och den svenska generation Ys behov och beteende. För att identifiera behov och krav från generation Y genomfördes fyra fokusgrupper med 31 deltagare samt fyra semi-strukturerade intervjuer. Resultaten analyserades och relaterades till en kundrese teori samt konceptet om plattformsbanker.Resultaten indikerar att den svenska generation Y kräver personliga tjänster och produkter samt skräddarsydda Omni-kanalupplevelser. De kräver en expansion av finansiella tjänster i form av en "one-stop-shop". För att möta dessa krav måste traditionella svenska banker använda deras kunddata och utnyttja den svenska generation Ys förtroende för deras säkerhet. Detta kommer att göra det möjligt för dem att utveckla överlägsna kundupplevelser såväl som att utvidga sitt sammanhang och etablera sig som bankplattformar.
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Essayeh, Aroua. "Une approche de personnalisation de la recherche d'information basée sur le Web sémantique." Thesis, Valenciennes, 2018. http://www.theses.fr/2018VALE0003.
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Le travail de cette thèse s’inscrit dans le cadre de la recherche d’information (RI) et plus précisément la recherche d’information personnalisée. En effet, avec la prolifération des données de différentes sources et malgré la diversité de méthodes et d’approches de la recherche d’information classique, cette dernière n’est plus considérée aujourd’hui comme un moyen efficace pour répondre aux exigences de l’utilisateur considéré comme l’acteur principal de tout système de recherche d’information (SRI). Dans ce travail de thèse, nous adressons deux principaux problèmes liés à la RI personnalisée : (1) la formalisation et la mise en œuvre d’un modèle utilisateur et (2) la formulation de la requête de recherche dans le but d’améliorer les résultats retournés à l'utilisateur en fonction de sa perception et de ses préférences. Pour atteindre ces objectifs, nous avons proposé une approche de recherche d’information guidée par les ontologies et basée sur l’utilisation sémantique des informations. En effet, notre contribution se décline en trois principaux points : (1) la modélisation et la construction de profil utilisateur suivant une approche ontologique modulaire. Ce modèle permet de capturer les informations relatives à l’utilisateur, de les modéliser suivant l’approche sémantique dans le but de les réutiliser pour des tâches de raisonnement et d’inférence ; (2) la reformulation sémantique de la requête de recherche en exploitant les concepts, les relations syntaxiques et non syntaxiques entre les concepts et les propriétés ; et finalement, (3) la recommandation des résultats qui consiste à proposer des résultats de recherche en se basant sur l’ensemble des communautés utilisateurs construites par l’approche de classification non supervisée « Fuzzy K-mode » améliorée. Ces communautés sont aussi modélisées sémantiquement dans l’ontologie modulaire de profil. Ensuite, afin de valider l’approche proposée, nous avons mis en œuvre un système pour la recherche des itinéraires dans le transport public. Enfin, cette thèse propose des perspectives de recherche sur la base des limites rencontréesThis PhD thesis reports on a recent study in the field of information retrieval (IR), more specifically personalized IR. Traditional IR uses various methods and approaches. However, given the proliferation of data from different sources, traditional IR is no longer considered to be an effective means of meeting users’ requirements. (‘Users’ here refers to the main actor in an IR system.) In this thesis, we address two main problems related to personalized IR: (1) the development and implementation of a user model; and (2) the formulation of a search query to improve the results returned to users according to their perceptions and preferences. To achieve these goals, we propose a semantic information search approach, based on the use of semantic information and guided by ontologies. The contribution of our work is threefold. First, it models and constructs user profiles following a modular ontological approach; this model allows the capture of information related to the user, and models the data according to the semantic approach so that the data can be re-used for reasoning and inference tasks. Second, it provides evidence for reformulating a query by exploiting concepts, hierarchical and non-hierarchical relationships between concepts and properties. Third, based on our findings, we recommend search results that are informed by the user’s communities, built by the improved unsupervised classification approach called the ‘Fuzzy K-mode’. These communities are also semantically modeled with modular profile ontology. To validate our proposed approach, we implemented a system for searching the itineraries for public transport. Finally, this thesis proposes research perspectives based on the limitations we encountered
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Beam, Michael A. "Personalized News: How Filters Shape Online News Reading Behavior." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1315716858.
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Lopes, Giseli Rabello. "Sistema de recomendação para bibliotecas digitais sob a perspectiva da web semântica." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2007. http://hdl.handle.net/10183/10747.
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Atualmente, pesquisadores e acadêmicos têm beneficiado-se muito com o crescimento acelerado das tecnologias Web, pois os resultados de pesquisa podem ser publicados e acessados eletronicamente tão logo a mesma tenha sido realizada. Esta possibilidade é vantajosa na medida em que minimiza as barreiras de tempo e espaço associadas à publicação tradicional. Neste contexto, surgem as Bibliotecas Digitais como repositórios de dados que, além dos documentos digitais propriamente ditos, ou de apontadores para estes documentos, armazenam os metadados associados. Para permitir que diferentes Bibliotecas Digitais possam interoperar surgiu a Open Archives Initiative (OAI) e, para resolver a questão da padronização dos metadados utilizados pelos repositórios, foi criado o formato Dublin Core (DC). Por outro lado, a enorme quantidade de documentos digitais disponíveis na Web tem causado o fenômeno conhecido como “sobrecarga de informação”. Com o objetivo de suprir esta dificuldade, Sistemas de Recomendação têm sido propostos e desenvolvidos. Estes sistemas visam prover uma interface alternativa para tecnologias de filtragem e recuperação de informações, tendo como foco a predição daqueles itens ou partes da informação que o usuário acharia interessante e útil. Portanto, os Sistemas de Recomendação atuam baseados em personalização da informação sendo que as predições geralmente são realizadas utilizando-se um perfil de cada usuário. A personalização está relacionada com o modo pelo qual a informação e serviços podem ser ajustados às necessidades específicas de um usuário ou comunidade. Esta dissertação descreve um Sistema de Recomendação de artigos científicos, armazenados em bibliotecas digitais. Este sistema é dirigido à comunidade científica da área da Ciência da Computação. Tecnologicamente, o sistema proposto foi desenvolvido sob a perspectiva da Web Semântica, à medida que faz uso de suas tecnologias emergentes tais como: uso de metadados padrão para a descrição de documentos - Dublin Core, uso do padrão XML para a descrição do perfil do usuário - Currículo Lattes, e provedores de serviços e de dados (OAI) envolvidos no processo de geração das recomendações. Este trabalho ainda apresenta e discute alguns resultados de experimentos baseados em avaliações quantitativas e qualitativas de recomendações geradas pelo sistema.Currently, researchers and academics have been benefited by the expressive growth of web technologies, due to the possibility of publishing and accessing research results as soon as they are achieved. This possibility is advantageous as it minimizes the time and space barriers that traditional publications present. In this context, Digital Libraries emerged as data repositories that, beyond digital documents or links to them, store associated metadata. To allow the interoperability among different Digital Libraries, the Open Archives Initiative (OAI) was defined and, to solve the problem of metadata standardization, the Dublin Core standard (DC) was created. On the other hand, the great amount of available digital documents in the Web has caused the phenomenon known as “information overload”. In order to avoid this difficulty, Recommender Systems have been proposed and developed. These systems intend to provide an alternative interface for information filtering and retrieval technologies, focusing on the prediction of items or information parts that are interesting and useful for the user. Therefore, Recommender Systems act based on information personalization, and the predictions are generally generated using each user’s profile. The personalization is related to the way the information and the provided services can be adjusted to the specific necessities of a user or community. This dissertation describes a Recommender System for scientific articles stored in digital libraries. This system is geared towards the Computer Science scientific community. Technologically, the proposed system was developed under the Semantic Web perspective, as it explores its emergent technologies such as: use of standard metadata for document description - Dublin Core, use of the XML standard for users’ profile description - Lattes Curriculum Vitae, and services and data providers (OAI) involved on the recommendations generation process. In addition, this work presents and discusses some experimental results; the experiments are based on quantitative and qualitative evaluations of recommendations generated by the system.
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Hradil, Luděk. "Personalizovaná webová aplikace." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237109.
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This thesis deals with the extension of the bachelor's thesis Movie Database. I focus on the practical application of data mining as well as the personalization of this information system. In data mining, I will use the data accrued during the operation site. The introduction summarizes the concepts of data mining. In the second section outlines new developments in web applications followed by an overview and description of the new site's features. The last chapters are devoted to the description of the design and the implementation of data mining techniques. The conclusion gives the achieved results.
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Cabir, Hassane Natu Hassane. "A Comparison Of Different Recommendation Techniques For A Hybrid Mobile Game Recommender System." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12615173/index.pdf.
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As information continues to grow at a very fast pace, our ability to access this
information effectively does not, and we are often realize how harder is getting to
locate an object quickly and easily. The so-called personalization technology is one
of the best solutions to this information overload problem: by automatically learning
the user profile, personalized information services have the potential to offer users a
more proactive and intelligent form of information access that is designed to assist
us in finding interesting objects. Recommender systems, which have emerged as a
solution to minimize the problem of information overload, provide us with
recommendations of content suited to our needs. In order to provide
recommendations as close as possible to a user&rsquos taste, personalized recommender systems require accurate user models of characteristics, preferences and needs. Collaborative filtering is a widely accepted technique to provide recommendations based on ratings of similar users, But it suffers from several issues like data sparsity and cold start. In one-class collaborative filtering, a special type of collaborative filtering methods that aims to deal with datasets that lack counter-examples, the challenge is even greater, since these datasets are even sparser. In this thesis, we present a series of experiments conducted on a real-life customer purchase database from a major Turkish E-Commerce site. The sparsity problem is handled by the use of content-based technique combined with TFIDF weights, memory based collaborative filtering combined with different similarity measures and also hybrids approaches, and also model based collaborative filtering with the use of Singular Value Decomposition (SVD). Our study showed that the binary similarity measure and SVD outperform conventional measures in this OCCF dataset.
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Abel, Fabian [Verfasser]. "Contextualization, user modeling and personalization in the social web : from social tagging via context to cross-system user modeling and personalization / Fabian Abel." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2011. http://d-nb.info/1014252423/34.
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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'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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Soui, Makram. "Contribution à l’évaluation des systèmes d’Information personnalisés : Application au transport collectif de personnes." Valenciennes, 2010. http://ged.univ-valenciennes.fr/nuxeo/site/esupversions/7d269547-a749-46f6-80fa-49bb22ffe41b.
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Les systèmes d’information personnalisés (SIP) sont de plus en plus présents dans la vie de tous les jours, aussi bien chez soi que dans le cadre du travail. Ils possèdent de plus en plus différentes capacités d’adaptation, ils sont disséminés dans l’environnement de l’utilisateur. De nombreux travaux sont menés aussi bien dans le monde académique que dans celui des entreprises sur la modélisation de l’utilisateur, les méthodes de conception, les outils de construction d’interfaces adaptées, les algorithmes de personnalisation, etc. Cependant, l'évaluation de ces systèmes est souvent négligée, voire ignorée. Pour combler ce manque, il s’agit d’étudier et mettre en place une batterie de méthodes permettant d’évaluer et d’améliorer leur qualité de personnalisation. Des verrous scientifiques liés à l’évaluation des SIP apparaissent. C’est dans ce contexte que nous proposons trois démarches complémentaires d’évaluation. La première est intitulée MetQus (METhode d’évaluation basée sur le QUeStionnaire de satisfaction). La seconde prend la forme d’une évaluation précoce qui consiste à prévoir l’évaluation dès les premières étapes de développement en intégrant un système de trace ; elle est intitulée MetTra (METhode d’évaluation qualifiée de précoce basée sur les TRAces d’usage). La troisième correspond à une évaluation par simulation d’une maquette de SIP, intitulée MetSim (METhode d’évaluation par SIMulation). MetSim permet de détecter les problèmes engendrés suite au changement du contexte en se basant sur un système à base de cas. Le cadre applicatif concerne l’évaluation des systèmes d'information personnalisés dans le domaine des transports collectifs des personnesThe personalized information systems (PIS) are more and more present everywhere (at home, at work, in public places, etc. ). More they can have different adaptation capabilities, and can be disseminated in the user environment. Many studies in research and in industry are conducted about user modelling, design methods and tools for HCI generation. However, the evaluation of such systems is often neglected. To fill up this lack, it is necessary to envisage new evaluation methods focused personalization quality. Difficulties concerning context-centred evaluation appear. In this research field, we propose three complementary approaches dedicated to personalized interactive system evaluation. The first one is called MetQus; it consists in collecting behavioural information concerning the system use, using a questionnaire. The second one is called MetTra; it consists in foreseeing the evaluation from the early stages of application development by integrating a tracing system. The last one is called MetSim; it allows an evaluation by simulation of PIS mock-up. MetSim is based on Case Based Reasoning system to identify problems. These evaluation approaches have been validated by applying them to evaluate PIS in transport field
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Yang, Shuo. "A Concept Design for Personalized In-vehicle Infotainment in Car Sharing." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291433.
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As a possible solution for environmental and social problems, car sharing is emerging. A number of studies have documented that personalization could increase convenience, comfort, and safety which becomes a shaping consumer trend, especially in cars. However, most studies in the field of personalization have only focused on privately-owned cars. This study set out to explore the personalization in shared cars. A usercentered approach was used. Nine user interviews were conducted to explore the problems of driving an unfamiliar car. Based on the interview results, the prototype of in-vehicle infotainment was designed which can exchange data with the mobile phone and provide personalized functions. Finally, the prototype was evaluated with 5 users with the Technology Acceptance Model to test the user acceptance. The prototype demonstrated the concept of exchanging personal information with the mobile phone. The frequently used functions on in-vehicle infotainment including calendar, navigation, and instruction were personalized in content and functionality. The evaluation results indicated that participants were possible to accept the prototype for its usefulness and ease of use but it should be noticed that privacy is an important issue when designing personalized functions. The findings presented in this thesis include the process and problems of driving an unfamiliar car, the possible approach for personal data exchange, the convenient personalized functions, and the user’s attitudes towards these personalized functions and privacy problems.Som en reaktion på klimatförändringar och visionen om framtidens städer ökar intresset för bildelning. Ett antal studier har påvisat hur personalising värderas högt när det gäller bilanvändning. Dessa studier har dock bara fokuserat på privatägda bilar. Denna studie syftade till att utforska en mer personaliserad upplevelse av delade bilar med ett användarcentrerat tillvägagångssätt. Nio användarintervjuer genomfördes för att utforska problem som kan uppstå när man blir står inför att köra en okänd bil. Baserat på intervjuresultaten designades en prototyp för infotainmentsystemet tillsammans med en parkopplad mobiltelefonen och för att kunna erbjuda personaliserade funktioner till användaren. Slutligen utvärderades prototypen med 5 användare med tillvägagångsättet Technology Acceptance Model för att testa användarens acceptans. Prototypen visade konceptet att låta bilen få tillgång till personlig information från mobiltelefonen. De mest använda funktionerna på infotainmentsystemet i bilen inklusive kalender, navigering och instruktioner personaliserades i aspekterna innehåll och funktionalitet. Utvärdering och användartest visade att deltagarna uppskattade prototypen för dess användbarhet och användarvänlighet, men det bör noteras att integritet är en viktig fråga när man utformar personaliserade funktioner. Resultaten som presenteras i denna avhandling inkluderar processen och problemen med att köra en okänd bil, ett möjligt tillvägagångssätt för utbyte av personuppgifter, design och utvärdering av personaliserade funktioner och användarens attityder till dessa samt problematisering kring integritetsfrågor.
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El, Ayoubi Ahmad. "Le traitement juridique spécial du chirurgien esthétique." Thesis, Paris 1, 2018. http://www.theses.fr/2018PA01D023/document.
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La place primordiale accordée à l’apparence physique dans la société actuelle, qui est une société de «l’image», a fait de la chirurgie esthétique la pratique chirurgicale la plus répandue et réclamée. Cette pratique, d’abord considérée illicite, puis exclusivement liée à des fins thérapeutiques, fut reconnue par la jurisprudence française à la suite d’une évolution prétorienne en 1936. Les raisons d’un tel retard de reconnaissance résident dans la spécificité qui distingue la chirurgie esthétique des autres branches de la médecine chirurgicale : en effet, la chirurgie esthétique se caractérise d’une part par sa nature qui est dépourvue de toute finalité curative et qui est réalisée sur une personne jouissant d’une bonne santé et, d’autre part, par sa finalité puisqu’elle vise à réaliser une amélioration de l’apparence physique et de la morphologie de la personne concernée. Cette double spécificité distingue également la chirurgie esthétique de la chirurgie reconstructrice et réparatrice. Ces caractéristiques mêmes de la chirurgie esthétique ont exigé, de la jurisprudence, mais également du législateur français, un traitement juridique spécial du chirurgien esthétique en vue d’éviter que ce dernier ne profite de la fragilité, aussi bien physique que psychique, de la personne ayant une obsession de beauté et de perfectionnement physique dans un domaine non curatif. C’est ainsi que nous avons abordé, dans la présente étude, les points spécifiques du traitement juridique du chirurgien esthétique, tant au regard de ses obligations que de sa responsabilité. Relativement aux obligations, la spécificité de la chirurgie esthétique exige tout d’abord un devoir d’information rigoureuse de la part du praticien afin d’aboutir à un consentement préalable éclairé du patient, ce qui suppose un devis écrit contenant tous les renseignements relatifs à l’intervention. Elle exige, d’autre part, un processus préalable en trois étapes […] Pour ce qui est de la responsabilité du chirurgien esthétique, elle est également spécifique, et ce sur les plans civil et pénal : Sur le plan civil, sa spécificité a poussé la jurisprudence française, qui a réalisé son approche du point de vue de la nature de l’obligation du chirurgien esthétique, à procéder à une démarche de « mutation » des règles applicables en droit commun dans une tentative de les adapter à la spécificité de l’intervention chirurgicale esthétique et de la responsabilité du praticien qui en découle. Cependant, la démarche jurisprudentielle était inadaptée à la spécificité de la chirurgie esthétique, et a entrainé une large confusion au sein de la jurisprudence et de la doctrine ; elle est donc critiquable. C’est ainsi que la présente étude propose un régime spécifique à la responsabilité civile du chirurgien esthétique à trois facettes : La détermination du cadre juridique de la responsabilité contractuelle du chirurgien esthétique liée à la spécificité du contrat de chirurgie esthétique ayant pour objet unique l’amélioration de morphologie et pour objectif la réalisation du résultat attendu qui a justifié l’intervention esthétique ; ainsi le chirurgien garantit le résultat esthétique de l’intervention. Le maintien de la responsabilité extracontractuelle en ce qui concerne les dommages qui surviennent à l’occasion de l’exécution de l’obligation contractuelle. L’institution d’un régime spécifique prenant en considération l’éventualité des dommages survenus en raison des aléas thérapeutiques et des risques exceptionnels, en envisageant un régime d’indemnisation automatique lié à des cas spécifiques qui se place en dehors du régime de la responsabilité civile. Quant à la responsabilité pénale du chirurgien esthétique, une incrimination spéciale et strictement adaptée à la nature de la chirurgie esthétique s’applique essentiellement dans trois circonstances : le remodelage sexuel, la publicité mensongère et l’expérimentation scientifiqueThe prominent place given to physical appearance in the current society qualified as the society of the “image”, has made cosmetic surgery, the most common surgical practice and claimed. This practice which was deemed illegal at one time and was then linked to the only therapeutic purposes has been recognized by the French courts following a change praetorian in 1936. The reasons supporting such a delay of recognition result from the specificity that distinguishes cosmetic surgery of the other surgical branches, it’s characterized by its very nature which is devoid of any curative purposes and is performed on a healthy person and its purpose is to achieve an improvement in the physical appearance and the morphology of the person concerned. This dual specificity also distinguishes cosmetic surgery from reconstructive and restorative surgeries. The specifications of cosmetic surgery required a special legal treatment of the cosmetic surgeon so it does not take advantage of the physical and mental fragility that has an obsession with beauty and physical development. Thus, we approached in this study the specific features of the legal treatment of the cosmetic surgeon in terms of obligations and responsibility.Regarding obligations, the specificity of cosmetic surgery requires a rigorous information obligation of the cosmetic surgeon to lead to a prior informed consent of the patient contained also on a written quotation. It requires a three-step process prior […] As for the cosmetic surgeon’s responsibility, it is also specific regarding its civil and criminal responsibilities : Specificity of its liability has led the French courts which made its approach towards the nature of the cosmetic surgeon’s obligation to conduct a process of «changing» the rules of common law in an attempt to adapt to specificity of cosmetic surgery and the resulting liability. However, the judicial process was not adapted to the specificity of cosmetic surgery, it led to a significantly wider confusion in the jurisprudence and doctrine, it is therefore questionable. Thus, we propose in this paper a specific regime for civil liability cosmetic surgeon three-sided : The contractual liability of the cosmetic surgeon linked to the specific contract cosmetic surgery that aims to improve morphology and has the objective of achieving the expected result which has justified the intervention. Thus, the cosmetic surgeon provides the aesthetic result of the intervention. Maintaining liability regarding damages that occur during the execution of the contractual obligation. The establishment of a special regime taking into account the case of damage due to therapeutic hazards and exceptional risks considering a compensation scheme automatically linked to specific cases that are placed outside the regime of civil liability. As to the criminal responsibility of the cosmetic surgeon, a special incrimination is strictly adapted to the nature of the surgery mainly applies in three situations : sexual remodeling, false advertising and scientific experimentation
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CANNATÁ, VERÔNICA MARTINS. "ENSINO HÍBRIDO NA EDUCAÇÃO BÁSICA: NARRATIVAS DOCENTES SOBRE A ABORDAGEM METODOLÓGICA NA PERSPECTIVA DA PERSONALIZAÇÃO DO ENSINO." Universidade Metodista de Sao Paulo, 2017. http://tede.metodista.br/jspui/handle/tede/1697.
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The central theme of this research is the pedagogical practice as reference of a formal education program. The research has as general objective to reflect on the insertion of blended learning from the angle of the teacher that acts as mediator and focuses on personalization and on technology integration to the curriculum. In relation to specific objectives, and regarding both experiences here narrated and the interlacing of the stories (participants and researcher), we analyze the points of interconnection with the challenges, the afflictions and the discoveries of a teacher in view of the use of DICT (Digital Information and Communication Technologies) in the promotion of knowledge construction. This is a qualitative investigative research elaborated in the autobiographical narrative modality and supported by hermeneutic-phenomenological approach for interpretation of learning narratives, considering that the description of phenomena leads to the essence of lived experience. With inspiration in the narrative research of Clandinin and Connelly (2011), this study is based on the theoretical principles of the biographical approach of Delory-Momberger (2012), Passeggi (2011) and Larrosa (1999), as well as on the hermeneutic-phenomenological formulation of M. Freire (2012). The theoretical contributions are based on the following authors: Horn and Staker (2015); Zabala (1998); Mizukami (1986); Moran (2015); Costa (1989); Almeida and Valente (2011); Perrenoud (2013); Santos (1994); Vieira Pinto (2005) and Vygotsky (1997). The research also presents a brief historical review of traditional school and active learning, besides covering didactic strategies of learning spaces reconfiguration and teaching challenges in the contemporary world. Technology, knowledge and personalization are contextually addressed as concept, instrument and support for the efficient use of data in blended learning, without losing sight of the application of intelligence technologies. Finally, we seek to identify the perceptions of teachers of basic education __ for example, in relation to teaching practice and technology __ from public and private networks, regarding the use of digital media in pedagogical practices and the promotion of learning using blended learning.
O tema central deste estudo é a prática pedagógica como referência de um programa de educação formal que traz como problema de pesquisa “Quais percepções emergem quando os professores da educação básica, redes privada e pública, promovem a aprendizagem com foco na personalização utilizando o ensino do ensino híbrido?” A pesquisa aqui conduzida tem como objetivo geral refletir sobre a experiência dos docentes a partir da mediação que integra, com o uso da metodologia, a tecnologia ao currículo. Em relação aos objetivos específicos, e tendo por base as experiências narradas e o entrelaçar das histórias (participantes e pesquisadora), analisam-se quais são os pontos de interconexão com os desafios, as aflições e as descobertas da docência em vista do uso da TDIC (Tecnologias Digitais de Informação e Comunicação) na promoção da construção do conhecimento. Trata-se de uma pesquisa qualitativa de cunho investigativo elaborada na modalidade narrativa autobiográfica e amparada na abordagem hermenêutico-fenomenológica para a interpretação das narrativas, considerando que a descrição dos fenômenos conduz à essência da experiência vivida. Com inspiração na pesquisa narrativa de Clandinin e Connelly (2011), este estudo apoia-se tanto nos princípios teóricos da abordagem biográfica de Delory-Momberger (2012), Passeggi (2011) e Larrosa (1999), quanto na formulação hermenêutico-fenomenológica de M. Freire (2012). Os aportes teóricos se fundamentam nos seguintes autores: Horn e Staker (2015); Zabala (1998); Mizukami (1986); Moran (2015); Costa (1989); Almeida e Valente (2011); Perrenoud (2013); Santos (1994); Vieira Pinto (2005) e Vygotsky (1997). A investigação ainda apresenta um breve recorte histórico da escola tradicional e das aprendizagens ativas, além de citar estratégias didáticas de reconfigurações dos espaços de aprendizagem e desafios da docência na contemporaneidade. A tecnologia, o conhecimento e a personalização são aqui contextualmente abordados nas qualidades de conceito, de instrumento, de linguagem e de apoio, sem perder de vista as narrativas das experiências dos participantes. Ao fim, identificaram-se as percepções – por exemplo, em relação à prática docente e à tecnologia – de professores da educação básica, das redes pública e privada, com relação ao uso dos meios digitais em práticas pedagógicas e à promoção da aprendizagem personalizada com a utilização da metodologia do ensino híbrido.
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Klee, Christopher. "AI in Marketing – Curse or Blessing? : Impacts of Programmatic Advertising and Personalized Content on Society." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299572.
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With the help of Programmatic Advertising and the resulting personalized content, consumers can be targeted precisely and with the help of Artificial Intelligence. The associated use of customer data creates ethical conflicts. Therefore, the research question is asked: How does Programmatic Advertising influence consumer's data security and diversity of opinion and what effect does this have on the further development of the technology? For the purpose of elaborating the research problem a literature analysis and expert interviews are carried out. The analysis shows that Programmatic Advertising has already taken up the majority of digital advertising activities. This results in advantages for advertisers, since consumers can be addressed in a targeted manner. Nevertheless, this provokes data law issues and the demand for more data security for the individual customer, which, among other things, is given more attention by big tech companies. Due to the constant change within this trend, new possibilities arise, such as contextual targeting, in order to continue to do an efficient display of advertising. Nonetheless, this work calls for more regulations to be able to give customers a better overview and control of their used data and to avoid restricted diversities of opinion, which can be promoted through microtargeting and therefore the addressed display of content. The prospects of Programmatic Advertising, however, are predicted with a steady increase because other areas within the media landscape will be pervaded by this technology in the future.Med hjälp av programmatisk reklam och artificiell intelligens får kunder och individer reklam som är specifikt utformade för just dem. Användningen av underliggande användardata ger upphov till etiska dilemman. Således, har vi följande problemformulering: Hur påverkar programmatisk reklam användarnas data och åsikter, och vilken effekt har detta på den fortsatta utvecklingen av området? Med avsikt att vidareutveckla problemformuleringen utfördes expertintervjuer samt en litteraturstudie. Analysen visar att programmatisk reklam utgör majoriteten av all digital marknadsföring. Detta har resulterat i fördelar för marknadsförare, ty användarna kan bli bemötta mer precist. Icke desto mindre, medför detta legala problem relaterat till användardata och ett ökat kraf av dataskydd för användaren, vilket är något som får stort fokus av stora tech företag. På grund av den konstanta utvecklingen av denna metod, föds nya möjligheter, exempelvis "kontextuell riktad marknadsföring", för att fortsätta vara en effektiv marknadsföringsmetod. Därmed, redogör denna rapport för en mer reglerad spelplan där användarna får en bättre överblick och kontroll över hur deras användardata utnyttjas, samt en mindre inskränkt åsiktspåverkan, vilket är något som skulle kunna ske genom knappnålsfin riktad marknadsföring. Dock är utvecklingen för programmatisk reklam förutspådd ljus, då andra områden inom medielandskapet kommer att genomsyras av denna teknologi i framtiden
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Krause, Daniel [Verfasser]. "A semantic web service-based framework for generic personalization and user modeling / Daniel Krause." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2012. http://d-nb.info/1024679721/34.
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Dang, Hien [Verfasser], Johannes [Akademischer Betreuer] Fürnkranz, Hermann [Akademischer Betreuer] Winner, and Arjan [Akademischer Betreuer] Kuijper. "Adaptive Personalization in Driver Assistance Systems / Hien Dang ; Johannes Fürnkranz, Hermann Winner, Arjan Kuijper." Darmstadt : Universitäts- und Landesbibliothek, 2021. http://d-nb.info/1228074151/34.
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Chatti, Mohamed Amine [Verfasser]. "Personalization in Technology Enhanced Learning : A Social Software Perspective / Mohamed Amine Chatti." Aachen : Shaker, 2010. http://d-nb.info/1084536196/34.
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