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Valencia, Rodríguez Salvador. "Location Aware Multi-criteria Recommender System for Intelligent Data Mining." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23418.
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One of the most important challenges facing us today is to personalize services based on user preferences. In order to achieve this objective, the design of Recommender Systems (RSs), which are systems designed to aid the users through different decision-making processes by providing recommendations to them, have been an active area of research. RSs may produce personalized and non-personalized recommendations. Non-personalized RSs provide general suggestions to a user, based on the number of times an item has been selected in the past. Personalized RSs, on the other hand, aim to predict the most suitable items for a specific user, based on the user’s preferences and constraints. The latter are the focus of this thesis. While Recommender Systems have been successful in many domains, a number of challenges remain. For example, most implementations consider only single criteria ratings, and consequently are unable to identify why a user prefers an item over others. Many systems classify the user into one single group or cluster which is an unrealistic approach, since in real world users share commonalities in different degrees with diverse types of users. Others require a large amount of previously gathered data about users’ interactions and preferences, in order to be successfully applied. In this study, we introduce a methodology for the creation of Personalized Multi Criteria Context Aware Recommender Systems that aims to overcome these shortcomings. Our methodology incorporates the user’s current context information, and techniques from the Multiple Criteria Decision Analysis (MCDA) field of study to analyze and model the user preferences. To this end, we create a multi criteria user preference model to assess the utility of each item for a specific user, to then recommend the items with the highest utility. The criteria considered when creating the user preference model are the user’s location, mobility level and user profile. The latter is obtained by considering the user specific needs, and generalizing the user data from a large scale demographic database. We present a case study where we applied our methodology into PeRS, a personal Recommender System to recommend events that will take place within the Ottawa/Gatineau Region. Furthermore, we conduct an offline experiment performed to evaluate our methodology, as implemented in our case study. From the experimental results we conclude that our RS is capable to accurately narrow down, and identify, the groups from a demographic database where a user may belong, and subsequently generate highly accurate recommendation lists of items that match with his/her preferences. This means that the system has the ability to understand and typify the user. Moreover, the results show that the obtained system accuracy doesn’t depend on the user profile. Therefore, the system is potentially capable to produce equally accurate recommendations for a wide range of the population.
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Aarts, Geert. "Modelling space-use and habitat preference from wildlife telemetry data." Thesis, St Andrews, 2007. http://hdl.handle.net/10023/327.
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Tsai, Geoffrey T. "The tools we use : a study of user preferences for sketches, prototypes, and CAD models and the influence on design outcome." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106785.
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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.Cataloged from PDF version of thesis.
Includes bibliographical references (pages [58]-[60]).
During a product design and development process, design teams use a variety of tools to generate and represent multiple design options before they eventually arrive at a singular design solution. Studying how these tools can influence the design outcome has the potential to enable designers to become more aware of the choices they make when they choose to use a tool. Because so much of the cost of a product is determined during the early stages of product development, reviewing these design alternatives with stakeholders is a valuable part of the process. Understanding how stakeholders respond to a design representation is vital to interpreting potential user feedback accurately In this dissertation, I investigate these questions about early-stage design process: I. How does the use of a specific design tool influence the design outcome? II. What design attributes do designers associate with these tools? In Part I of this research, designers made sketches, foam model prototypes, or CAD models in a controlled experiment. Followed by a survey of the designs with potential users, Part I demonstrated how different design tools affect the quantity and quality of ideas, including that designs created as prototypes were recognized as more novel, more aesthetically pleasing, and more comfortable to use. In Part II, in a survey of designers with experience in sketching, foam models, and CAD, designs from Part I were re-represented as sketches. Experienced designers exhibited a better-than-random likelihood to identify the original tool used to create the design, despite viewing only the re-sketch. This suggests artifacts of a design tool persist in a design representation despite the design being translated from one medium to another.
by Geoff Tsai.
Ph. D.
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Algrnas, Mohammad. "Stakeholder model representing consumer preferences for housing in Saudi Arabia." Thesis, Liverpool John Moores University, 2016. http://researchonline.ljmu.ac.uk/4479/.
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Adequate housing is an important issue for any society; no one can ignore the importance of providing adequate housing for citizens in any country. Purchasing a home is a major investment; it takes a huge part of people’s income. Therefore, it is important to know what in the market is suitable for consumers, to categorise and analyse consumer preferences, and understand their changes in behaviour, looking at the differences in the demographics and the population segment in order to create a better home environment. However, solutions that are not consistent with consumer ambitions and self-concepts will not help to resolve the housing problem or provide satisfaction for consumers. Thus, it is important for policymakers to identify and understand both the consumers’ preferences and the housing problem in order to devise effective spatial policies to manage housing demand. Housing in Saudi is an interesting and strategically important issue, because of the low level of home ownership, and the fact that the available homes do not match consumer demand. It would be interesting to understand consumer preferences and be able to provide a model clarifying the important home variables, and also to identify the cultural, economic and demographic influences on home buying. This could help stakeholders such as the government, developers and consumers themselves plan suitable homes. This study combines inductive and deductive approaches to investigate the housing problem in Saudi and to identify a suitable model of consumer preferences. Firstly, literature reviews were used to identify theories and put forward the relevant home variables. Secondly, mixed methods were used in the study for data gathering sequentially, by doing quantitative questionnaires in Saudi Arabia (with 752 respondents in the consumer survey and 102 in the professional survey), and qualitative interviews. Moreover, the inferential analysis of the questionnaires clarifies the differences in the answers between the genders, the regions where respondents live, and their occupations, and shows significant difference in some variables. The final home preferences model has been designed by using inductive factor analysis. Furthermore, the result shows differences between the consumers and professionals’ views. As a final phase, the model was validated by conducting a focus group, from which some variables were added to the model.
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Recalde, Lorena. "Modeling users preferences in online social networks." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/663756.
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L'objectiu d'aquesta tesi és desenvolupar nous i diversos mètodes per modelar les preferències dels usuaris a les Xarxes Socials Online. Els mètodes proposats tenen com a finalitat ser aplicats en àrees de recerca com la Personalització o Recomanació d'ítems i la Detecció de Grups d'Usuaris amb gustos similars. Aquests mètodes poden ser agrupats en dos tipus: i) mètodes basats en tècniques d'anàlisi de textos (Part I, Capítols del 3 al 5) i ii) mètodes basats en teoria de grafs (Part II, Capítols 6 i 7).
Amb els mètodes plantejats a la Part I és possible determinar el nivell d'interès dels usuaris en temes que són compartits en plataformes de microblogging. Hem pres com a cas d'estudi la participació digital de tweeters a la política. Els mètodes proposats a la Part II busquen definir un paper pels usuaris de les Xarxes Socials, ja sigui com a creadors o generadors de contingut i distribuïdors o consumidors de contingut. Hem plantejat un mètode on usuaris amb interessos similars però amb diferent rols són agrupats en una mateixa comunitat, de manera que els nous continguts es propaguen més ràpidament.El objetivo de esta tesis es desarrollar nuevos y diversos métodos para modelar las preferencias de los usuarios en las Redes Sociales Online. Los métodos propuestos tienen como finalidad ser aplicados en áreas de investigación como la Personalización o Recomendación de ítems y la Detección de Grupos de Usuarios con gustos similares. Dichos métodos pueden ser agrupados en dos tipos: i) métodos basados en técnicas de análisis de texto (Parte I, Capítulos del 3 al 5) y ii) métodos basados en teoría de grafos (Parte II, Capítulos 6 y 7). Con los métodos planteados en la Parte I es posible determinar el nivel de interés de los usuarios en temas que son compartidos en plataformas de microblogging. Hemos tomado como caso de estudio la participación digital de tweeters en la política. Los métodos propuestos en la Parte II buscan definir un rol para los usuarios en Redes Sociales, ya sea como creadores o generadores de contenido y distribuidores o consumidores de contenido. Hemos planteado un método donde usuarios con intereses similares pero con distinto rol, son agrupados en una misma comunidad de forma que nuevo contenido se propague más rápidamente.
The objective of this thesis is to develop new and diverse methods to model the preferences of the users in the Online Social Networks. The proposed methods are intended to be applied in areas of research such as Personalization or Recommendation of items and the detection of groups of users with similar tastes. These methods can be grouped into two types: i) methods based on text analysis techniques (Chapters 3 to 5) and ii) methods based on graph theory (Chapters 6 and 7). With the methods proposed in i) it is possible to determine the level of interest of users on topics that are shared on microblogging platforms. We have taken as a case study the digital participation of tweeters in politics. The methods proposed in ii) seek to define a role for users in social networks, whether as creators or content generators and distributors or content consumers. We have proposed a method where users with similar interests but with different roles, are grouped in the same community so that new content spreads more quickly.
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Johansson, Anton, and Christoffer Sjöholm. "User Preferences of Application Attributes During Product Browsing : An Investigation of Customer Experience in Fashion E-Commerce." Thesis, Linköpings universitet, Logistik- och kvalitetsutveckling, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158673.
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In a fast-changing retail environment, including hard competition and demanding consumers, the customer experience of the purchasing service is crucial to gain a competitive advantage. Since consumers are to some extent moving from offline to online, and from desktop shopping to purchasing clothing in a mobile application, there is a need for investigating consumers expectations of their experience of a mobile application. The existing and performance of attributes and functions determines the satisfaction of the user experience, which is why it is reasonable to investigate expectations concerning attributes. The finding and classification of quality attributes in mobile applications in the fashion industry was the main goal of this thesis. Attributes were found using a qualitative study including 16 interviews, where respondents field tested already existing applications. The reasonability to further investigate these attributes was confirmed by a literature research. After finding 35 relevant attributes, these were investigated and analysed using the Theory of Attractive Quality and a 5-level Kano questionnaire. The analysis was conducted using the Theory of Attractive Quality, classifying attributes according to the Kano chart of evaluation. Further, each attribute was analysed using tools such as better/worse diagrams and self-stated importance values. The classification results from the questionnaire were that “Choose product size” was categorised as Must-Be, “Loading speed” as One-Dimensional, eight quality attributes were combinations of classifications, and 25 were classified as Indifferent. A number of 510 respondents answered the questionnaire. The classification of attributes implies that customers are rather indifferent to attributes during their shopping experience. However, further analysis concludes that even though many attributes are classified as Indifferent, many attributes need to be considered, according to the better/worse values and diagrams, which are useful regarding resource allocation. According to the classification and better/worse diagrams, one can distinguish a difference between genders: male respondents proved to be more indifferent to their shopping experience than females. Analysis of the data also shows a difference between age groups. The two youngest age groups including respondents born in 1990-1994 and 1995-2000, had higher better and worse values, implying that younger people expect more from their shopping user experience. Conclusively, this report resulted in an overview of consumers’ expectations regarding their experience when shopping in a fashion mobile application. The Theory of Attractive Quality is a useful method when measuring perceived and expected quality; however, each investigative occasion demands different method setup, adjusting for specific attribute types, as well as business. Some improvements can be made regarding the Theory of Attractive Quality, increasing the chances of a better result.
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McDonald-Russell, Deborah Elane. "Profiling music consumers for viral marketing purposes : a test of the efficacy of combining the uses and gratifications theory with the diffusion of innovation model /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3074426.
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Shifula, Loide Ndahafa. "The contexts which Namibian learners in grades 8 to 10 prefer to use in mathematics." Thesis, University of the Western Cape, 2012. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_3650_1383744876.
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One of the key ideas in the research on mathematics education is that the mathematical knowledge that learners acquire is strongly tied to the particular situation in which it is learnt. This study investigated the contexts that learners in grades eight, nine and ten prefer to deal with in the learning of mathematics based on their personal, social, societal, cultural and contextual concerns or affinities. The study is situated in the large-scale project called the Relevance of School Mathematics Education II (ROSMEII), which is concerned with the application and the use of mathematical knowledge and processes in real life situations. It is based on a survey of learners from ten (10) secondary schools in the Oshana and Khomas regions of Namibia. The ten schools that were sampled represent the spectrum of schools in Namibia in both urban and semi-urban areas. The Rasch model of data analysis is employed to provide some insight into the contextual situations learners would like to deal with in their mathematical learning. The data obtained for this study was analysed using the WINSTEPS Version 3.65.0 suite of computer programs. The current study arises from a concern about the absence of the voices of learners in the contextual situations in mathematics selected by adults such as mathematics teachers, inspectorates and curriculum and materials developers. The assumption is that the inclusion of learners&rsquo
insights into mathematics curricular might enhance mathematical learning. The study reveals that school children have an intrinsic desire to learn about mathematical issues embedded in real-life contexts. Several items which Namibian learners have shown interest in are issues they experience in life out of school which are not directly dealt with in school, such as managing personal and financial affairs, health matters, technology, construction, engineering and government financial matters. However, learners indicated to have a low preference in contexts like lotteries and gambling, national and international politics, cultural products, all kinds of pop music and dancing. This thesis contends that the inclusion of contexts in the mathematics curriculum which are of interest to learners will go a long way in facilitating good performance of learners in mathematics.
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Baumgarten, Nicole. "The secret agent film dubbing and the influence of the English language on German communicative preferences : towards a model for the analysis of language use in visual media /." Hamburg : Staats- und Universitätsbibliothek, 2005. http://www.sub.uni-hamburg.de/opus/volltexte/2005/2527.
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Alili, Hiba. "Intégration de données basée sur la qualité pour l'enrichissement des sources de données locales dans le Service Lake." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED019.
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De nos jours, d’énormes volumes de données sont créés en continu et les utilisateurs s’attendent à ce que ceux-ci soient collectés, stockés et traités quasiment en temps réel. Ainsi, les lacs de données sont devenus une solution attractive par rapport aux entrepôts de données classiques coûteux et fastidieux (nécessitant une démarche ETL), pour les entreprises qui souhaitent stocker leurs données. Malgré leurs volumes, les données stockées dans les lacs de données des entreprises sont souvent incomplètes voire non mises à jour vis-à-vis des besoins (requêtes) des utilisateurs.Les sources de données locales ont donc besoin d’être enrichies. Par ailleurs, la diversité et l’expansion du nombre de sources d’information disponibles sur le web a rendu possible l’extraction des données en temps réel. Ainsi, afin de permettre d’accéder et de récupérer l’information de manière simple et interopérable, les sources de données sont de plus en plus intégrées dans les services Web. Il s’agit plus précisément des services de données, y compris les services DaaS du Cloud Computing. L’enrichissement manuel des sources locales implique plusieurs tâches fastidieuses telles que l’identification des services pertinents, l’extraction et l’intégration de données hétérogènes, la définition des mappings service-source, etc. Dans un tel contexte, nous proposons une nouvelle approche d’intégration de données centrée utilisateur. Le but principal est d’enrichir les sources de données locales avec des données extraites à partir du web via les services de données. Cela permettrait de satisfaire les requêtes des utilisateurs tout en respectant leurs préférences en terme de coût d’exécution et de temps de réponse et en garantissant la qualité des résultats obtenusIn the Big Data era, companies are moving away from traditional data-warehouse solutions whereby expensive and timeconsumingETL (Extract, Transform, Load) processes are used, towards data lakes in order to manage their increasinglygrowing data. Yet the stored knowledge in companies’ databases, even though in the constructed data lakes, can never becomplete and up-to-date, because of the continuous production of data. Local data sources often need to be augmentedand enriched with information coming from external data sources. Unfortunately, the data enrichment process is one of themanual labors undertaken by experts who enrich data by adding information based on their expertise or select relevantdata sources to complete missing information. Such work can be tedious, expensive and time-consuming, making itvery promising for automation. We present in this work an active user-centric data integration approach to automaticallyenrich local data sources, in which the missing information is leveraged on the fly from web sources using data services.Accordingly, our approach enables users to query for information about concepts that are not defined in the data sourceschema. In doing so, we take into consideration a set of user preferences such as the cost threshold and the responsetime necessary to compute the desired answers, while ensuring a good quality of the obtained results
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Luo, Sheng-Jie, and 羅聖傑. "User-Preference-Based Video Fast-Forwarding Model." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/39385123389656910737.
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碩士國立臺灣大學
資訊管理學研究所
97
In this thesis we propose a new video interaction model called adaptive fast-forwarding to help people quickly browse videos with predefined semantic rules. This model is designed around the metaphor of scenic car driving, in which the driver slows down near areas of interest and speeds through unexciting areas. Results from a preliminary user study of our video player suggest the following: • The player should adaptively adjust the current playback speed based on the complexity of the present scene and predefined semantic events. • The player should learn user preferences about predefined event types as well as a suitable playback speed. • The player should fast-forward the video continuously with a playback rate acceptable to the user to avoid missing any undefined events or areas of interest. Furthermore, we provide the absolute speed control model with the analog controller to enhance the experience of speed control. Our user study results suggest that for certain types of video, our system - SmartPlayer yields better user experiences in browsing and fast-forwarding videos than existing video players'' interaction models.
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"Planning with Incomplete User Preferences and Domain Models." Doctoral diss., 2014. http://hdl.handle.net/2286/R.I.25177.
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abstract: Current work in planning assumes that user preferences and/or domain dynamics are completely specified in advance, and aims to search for a single solution plan to satisfy these. In many real world scenarios, however, providing a complete specification of user preferences and domain dynamics becomes a time-consuming and error-prone task. More often than not, a user may provide no knowledge or at best partial knowledge of her preferences with respect to a desired plan. Similarly, a domain writer may only be able to determine certain parts, not all, of the model of some actions in a domain. Such modeling issues requires new concepts on what a solution should be, and novel techniques in solving the problem. When user preferences are incomplete, rather than presenting a single plan, the planner must instead provide a set of plans containing one or more plans that are similar to the one that the user prefers. This research first proposes the usage of different measures to capture the quality of such plan sets. These are domain-independent distance measures based on plan elements if no knowledge of the user preferences is given, or the Integrated Preference Function measure in case incomplete knowledge of such preferences is provided. It then investigates various heuristic approaches to generate plan sets in accordance with these measures, and presents empirical results demonstrating the promise of the methods. The second part of this research addresses planning problems with incomplete domain models, specifically those annotated with possible preconditions and effects of actions. It formalizes the notion of plan robustness capturing the probability of success for plans during execution. A method of assessing plan robustness based on the weighted model counting approach is proposed. Two approaches for synthesizing robust plans are introduced. The first one compiles the robust plan synthesis problems to the conformant probabilistic planning problems. The second approximates the robustness measure with lower and upper bounds, incorporating them into a stochastic local search for estimating distance heuristic to a goal state. The resulting planner outperforms a state-of-the-art planner that can handle incomplete domain models in both plan quality and planning time.Dissertation/Thesis
Ph.D. Computer Science 2014
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Peška, Ladislav. "Doporučovací systémy - modely, metody a experimenty." Doctoral thesis, 2016. http://www.nusl.cz/ntk/nusl-347511.
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This thesis investigates the area of preference learning and recommender systems. We concentrated recommending on small e-commerce vendors and efficient usage of implicit feedback. In contrast to the most published studies, we focused on investigating multiple diverse implicit indicators of user preference and substantial part of the thesis aims on defining implicit feedback, models of its combination and aggregation and also algorithms employing them in preference learning and recommending tasks. Furthermore, a part of the thesis focuses on other challenges of deploying recommender systems on small e-commerce vendors such as which recommending algorithms should be used or how to employ third party data in order to improve recommendations. The proposed models, methods and algorithms were evaluated in both off-line and on-line experiments on real world datasets and on real e-commerce vendors respectively. Datasets are included to the thesis for the sake of validation and further research. Powered by TCPDF (www.tcpdf.org)
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Nahar, Kamrun. "Classifying tablet PC models based on user preferences from online reviews." Thesis, 2012. http://spectrum.library.concordia.ca/974003/1/Nahar_MASc_F2012.pdf.
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Online review sites are a good source of information for the manufacturers to understand the product market. Those sites allow users of the product to express their opinions about products which provide valuable information to other people. As these reviews are easily available and contain important information about the product and users, product designers can utilize those reviews for their new product design analysis. To be competitive the designer should consider the users preferences at the time of product designing and should offer product differentiation while offering a new product. Tablet PC is currently considered
as a new class of product which needs to be well classified for the users. The history of portable computer tells that at first when portable computer arrived in the market it was
also not well classified for different users. At first, almost all manufacturers had one line of portable computer in market which resembles the current time of tablet product. Motivated by the available online reviews by tablet users and the need of the tablet designers, we propose a method to extract interesting patterns from online reviews of tablet users. These extracted patterns can help the designers to understand the new product market of tablet PC to classify its model for different categories of users. We applied association rule mining technique on the online reviews to reveal interesting patterns between users and their preferred tablet features. For identifying this pattern we considered three categories of users:
personal, business and student users. To examine the approach, the online reviews posted between April, 2010 and May, 2011 were collected. Then the resultant association rules between the users and tablet features are compared with the existing tablets in the market which supports this study.
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Lin, Zhi-Hao, and 林志豪. "Multi-user Preference Model viaLayered Bayesian Networksin a Smart Home Environment." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/21277189876168750877.
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碩士臺灣大學
資訊工程學研究所
95
An important issue to be addressed in a smart home environment is how to provide appropriate services according to the preference of inhabitants. In this paper, we aim at developing a system to learn a multiple users’ preference model that represents relationships among users as well as dependency between services and sensor observations. Thus, the service can be inferred based on the learnt model. To achieve this, we propose a three-layer model in our work. At the first layer, raw data from sensors are interpreted as context information after noise removal. The second layer is dynamic Bayesian networks which model the observation sequences including inhabitants’ location and electrical appliance information. At the highest layer, we integrate the results of the second layer, environment information and the relations between inhabitants to recommend the service to inhabitants. Therefore, the system can infer appropriate services to inhabitants at right time and right place and let them feel comfortable. In experiments, we show that our model can reliably recommend and precise services to inhabitants in a smart home environment.
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Chen, Kai-Chun, and 陳凱群. "Fine-tuning model of hearing aids based on user`s preference." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/24442314815871333781.
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碩士國立陽明大學
醫學工程研究所
95
The hearing perception varies from person to person, and there are differences from hearing perception between the individuals, so there isn’t any type for exact communication between hearing perception of hearing-impaired and the hearing perception of the audiologist, which causes many difficulties and problems for the processing of hearing-aid selection. So there are two purpose of this study, firstly, with the method of gain control, make hearing-impaired adjusts some parameters with the“current” perception he/herself; secondly, with the gain control, expect the audiologist will adopt the method of data-logging to know about the most commonly used parameters for the hearing-impaired in different conditions, after analysis, we can finally confirm the matching parameters to get the optimization of the matching conditions for hearing-aid. Therefore, this study mainly wants to let the hearing-impaired involve in the process of fine-tuning directly, and get the satisfaction of the hearing perception rapidly, and then enhance the intention and benefits of wearing hearing-aid.
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HUANG, YU-FENG, and 黃鈺峯. "COLOR APPEARANCE MODELING AND ANALYSIS IN DIFFERENT TV AND MODES, AS WELL AS COLOR PREFERENCE MODEL IN DIFFERENT USER SCENARIO AND USER GROUPS." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ngxc69.
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碩士元智大學
資訊傳播學系
107
This paper proposes a method to reduce the colors different of two display devices, especially with different models and different settings by a low cost camera. Different from common commercial color calibration procedure which making the showing color of every screen near to the standard ColorChecker, modifying the system configuration, and having many steps, the result of this method can help, designer for exhibition, creation and any situation that need color consistent with multiple screens which the color precision is not important. We hope the result can give other research arise to generate a low cost, attaching the color consistent system multiple screens.
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Wu, Der-Huang, and 吳德晃. "The Use of Stated Preference Model in Travel Itinerary Choice." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/51001359814418727713.
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碩士文化大學
觀光事業研究所
85
In recent years, the considerable domestic demand of overseas travel have brought growth to the travel industry. The travel agents try to design the most suitable travel products for their target market in order to satisfy the vast demand in our society. Among the products such as spot travel, special interest tour, package tour and so on, the package tours are still welcome in our market because of their offering the real goal of recreation. This study sttempts to investigate the consumer''s behavior in travel itinerary choice by using Stated Preference Model. The Stated Preference Model is a probability model of individual selections. For the last decade, this model has also been widely used in various fields locally. However, application in marketing is still rare. Therefore, this study is an attempt to investigate the application of the Stated Preference Model in consumer''s behavior in travel itinerary choice. A model of choice behavior was also established to understand the variables affection the purchase decisions by consumers. The impact of different variables on the choice behavior was also compared. Finally, the model established was used to predict market shares and to analyze strategy sensitivity, which can provide references for management planning of strategy study to the travel agents. The results of this research indicate that most of the consumers are affected by the price of the travel product when they make decisions to select the package tour. The days and flights'' departure time of the tours are very important affecting factors to those whose age are under 40. The older they are, the more attention they will pay on the contents of the tours. The results also show that the cooperation of the model is quite good. By conducting a strategic simulation on the third alternative, which has a higher market share, through the model established in this study, it shows that the best strategy is to adjust the price 5% down to increase the market sharing.
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Zhang-ChenTian and 田章辰. "Use aesthetic measure to analyze the consumer preference model of product forms ." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/cjajk7.
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碩士國立成功大學
工業設計學系
102
As product technological developments advance rapidly, products in the same category when being manufactured by different companies may seem to consumers that their functional performance is largely identical but with minor differences. For consumers, the essential physical functions of a product are no longer the decisive factor that attracts them to buy. As for further product aesthetic demands, the average product aesthetic perception has in general reached a certain level as well due to people's emphasis on appearance designs nowadays. How do designers overcome the hurdle and design products which strike a chord with consumers? This depends on the introduction of design differentiation which can attract consumers of different aesthetic perceptions or different tastes. Therefore it has already become an important procedure in the design process to fulfill the task of mastering the exact aesthetic tastes of people from different groups. It is therefore contemplated in this research that consumers have a fixed preference model for the preferred product forms. If the preference model of various aesthetic groups can be analyzed, designers can find out quickly whether the form designs which are generated satisfy the target group or not. The factor of form, which is the major factor composes product styles, was selected as the major target in this research for the investigation of consumer preferences, and a variety of vases have been selected as the samples for the investigation of forms. The aesthetic principles which are applicable to vases have been firstly screened out and these principles are composed of Symmetry, Minimalist, and Cohesion. Via the calculation by objective quantization on the evaluation model of aesthetic measures, the different values of Symmetry, Minimalist, and Cohesion that are presented by different vases can serve as different attributes and levels which compose the vase forms. These attributes and levels can be further combined with consumer preferences for a conjoint analysis and the researchers can determine the aesthetic values which are emphasized by each subject. Based on the two indexes of Pearson’s R and Kendall’s tau in the conjoint analysis, it has also been verified that the subjects indeed possess an established preference model when choosing the preferred vases. Followed by this finding, the concept of market segmentation was utilized to divide the subjects into six groups with different aesthetic perceptions based on the differences in the part-worth utilities perceived by the subjects on the three types of aesthetic principles. The result was further utilized to construct the figures of the form preference models of each group. With the figures of preference models, the preference values of vase forms which have been designed, can be detected in different group’s view with the thinking of reversed engineering. This approach can also be applied to the form design and renovation, and provides the modification of form designs with the right direction and a correct basis. In the final portion of this research, a vase with an ordinary preference to the target group was selected for the case study. It has been adjusted and modified in the direction of the group's most preferred aesthetic values and finally became a vase which caters more to the target group's preference.
20
Baumgarten, Nicole [Verfasser]. "The secret agent : film dubbing and the influence of the English language on German communicative preferences ; towards a model for the analysis of language use in visual media / vorgelegt von Nicole Baumgarten." 2005. http://d-nb.info/97558300X/34.
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