Ebook: The Adaptive Web: Methods and Strategies of Web Personalization

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 personalization has evolved into a large research field that attracts 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 that map out the most important areas of the adaptive Web, each solicited from the experts and leaders in the field.

The largest part of the book focuses on personalization techniques, namely the modeling side of personalization and on adaptation. This technique-focused part is complemented by four domain-oriented chapters. The book also details recently emerging topics; it provides a prospective view to new ideas and techniques that are moving rapidly into the focus of the adaptive Web community and have to be included as a glimpse into a not so distant future.

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Web personalization has evolved into a large research field that attracts 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 that map out the most important areas of the adaptive Web, each solicited from the experts and leaders in the field.

The largest part of the book focuses on personalization techniques, namely the modeling side of personalization and on adaptation. This technique-focused part is complemented by four domain-oriented chapters. The book also details recently emerging topics; it provides a prospective view to new ideas and techniques that are moving rapidly into the focus of the adaptive Web community and have to be included as a glimpse into a not so distant future.

Content:
Front Matter....Pages -
Front Matter....Pages 1-1
User Models for Adaptive Hypermedia and Adaptive Educational Systems....Pages 3-53
User Profiles for Personalized Information Access....Pages 54-89
Data Mining for Web Personalization....Pages 90-135
Generic User Modeling Systems....Pages 136-154
Web Document Modeling....Pages 155-192
Front Matter....Pages 193-193
Personalized Search on the World Wide Web....Pages 195-230
Adaptive Focused Crawling....Pages 231-262
Adaptive Navigation Support....Pages 263-290
Collaborative Filtering Recommender Systems....Pages 291-324
Content-Based Recommendation Systems....Pages 325-341
Case-Based Recommendation....Pages 342-376
Hybrid Web Recommender Systems....Pages 377-408
Adaptive Content Presentation for the Web....Pages 409-432
Adaptive 3D Web Sites....Pages 433-462
Front Matter....Pages 463-463
Adaptive Information for Consumers of Healthcare....Pages 465-484
Personalization in E-Commerce Applications....Pages 485-520
Adaptive Mobile Guides....Pages 521-549
Adaptive News Access....Pages 550-570
Front Matter....Pages 571-571
Adaptive Support for Distributed Collaboration....Pages 573-595
Recommendation to Groups....Pages 596-627
Front Matter....Pages 571-571
Privacy-Enhanced Web Personalization....Pages 628-670
Open Corpus Adaptive Educational Hypermedia....Pages 671-696
Semantic Web Technologies for the Adaptive Web....Pages 697-719
Usability Engineering for the Adaptive Web....Pages 720-762
Back Matter....Pages -

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Web personalization has evolved into a large research field that attracts 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 that map out the most important areas of the adaptive Web, each solicited from the experts and leaders in the field.

The largest part of the book focuses on personalization techniques, namely the modeling side of personalization and on adaptation. This technique-focused part is complemented by four domain-oriented chapters. The book also details recently emerging topics; it provides a prospective view to new ideas and techniques that are moving rapidly into the focus of the adaptive Web community and have to be included as a glimpse into a not so distant future.

Content:
Front Matter....Pages -
Front Matter....Pages 1-1
User Models for Adaptive Hypermedia and Adaptive Educational Systems....Pages 3-53
User Profiles for Personalized Information Access....Pages 54-89
Data Mining for Web Personalization....Pages 90-135
Generic User Modeling Systems....Pages 136-154
Web Document Modeling....Pages 155-192
Front Matter....Pages 193-193
Personalized Search on the World Wide Web....Pages 195-230
Adaptive Focused Crawling....Pages 231-262
Adaptive Navigation Support....Pages 263-290
Collaborative Filtering Recommender Systems....Pages 291-324
Content-Based Recommendation Systems....Pages 325-341
Case-Based Recommendation....Pages 342-376
Hybrid Web Recommender Systems....Pages 377-408
Adaptive Content Presentation for the Web....Pages 409-432
Adaptive 3D Web Sites....Pages 433-462
Front Matter....Pages 463-463
Adaptive Information for Consumers of Healthcare....Pages 465-484
Personalization in E-Commerce Applications....Pages 485-520
Adaptive Mobile Guides....Pages 521-549
Adaptive News Access....Pages 550-570
Front Matter....Pages 571-571
Adaptive Support for Distributed Collaboration....Pages 573-595
Recommendation to Groups....Pages 596-627
Front Matter....Pages 571-571
Privacy-Enhanced Web Personalization....Pages 628-670
Open Corpus Adaptive Educational Hypermedia....Pages 671-696
Semantic Web Technologies for the Adaptive Web....Pages 697-719
Usability Engineering for the Adaptive Web....Pages 720-762
Back Matter....Pages -
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