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Following the increase in of the information available on the Web, the diversity of its users and the complexity of Web applications, researchers started developing adaptive Web systems that tailored their appearance and behavior to each individual user or user group. Adaptive systems were designed for different usage contexts, exploring different kinds of personalization. Web personalization has evolved into a large research field attracting scientists from different communities such as hypertext, user modeling, machine learning, natural language generation, information retrieval, intelligent tutoring systems, cognitive science, and Web-based education.
This state-of-the-art survey provides a systematic overview of the ideas and techniques of the adaptive Web and serves as a central source of information for researchers, practitioners, and students. The volume constitutes a comprehensive and carefully planned collection of chapters, mapping out the most important areas of the adaptive Web, each solicited from experts and leaders in the field.
The largest part of the book focuses on personalization techniques, namely the modeling side of personalization (Chaps. 1-5), and on adaptation, (Chaps. 6-14). The technique-focused part is complemented by four domain-oriented chapters in the third section of the book (Chaps. 15-18). The last section is devoted to recently emerging topics; it provides a prospective view of the new ideas and techniques that are moving rapidly into the focus of the adaptive Web community and gives the reader a glimpse into the not-so-distant future.
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web recommender systems, open corpus problem, user modeling servers, adaptive web systems, generic user modeling systems, group recommender systems, adaptive content presentation, user modeling shell systems, adaptive news access, feature augmentation hybrid, social navigation support, personalized information access, actual recommender, conversational recommender systems, external domain model, less relevant content, open corpus adaptive hypermedia, adaptive educational systems, collaborative filtering recommender systems, web personalization, primary recommender, data mining cycle, navigation support technologies, adaptive information access, adaptive navigation support techniques Key Phrases - Capitalized Phrases (CAPs): (learn more)
Lecture Notes, Berlin Heidelberg New York, Springer Verlag, World Conference, Morgan Kaufmann, Springer-Verlag Berlin Heidelberg, European Conference, San Francisco, Knowledge Sea, The Journal of Personalization Research, Intelligent Systems, Internet Computing, Windows Vista, Adaptive Place Advisor, Open Directory Project, Empirical Evaluation of Adaptive Systems, Google News, Information Technology, Internet Technology, Lawrence Erlbaum Associates, Human Computer Interaction, The Netherlands, Kind of Factors Applicability, Proceedings of the Second Workshop, Proceedings of the Workshop New!
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77% buy the item featured on this page: The Adaptive Web: Methods and Strategies of Web Personalization (Lecture Notes in Computer Science / Information Systems and Applications, incl. Internet/Web, and HCI) $89.10 |
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