This book constitutes the thoroughly refereed post-proceedings of the Second Workshop on Intelligent Techniques in Web Personalization, ITWP 2003, held in Acapulco, Mexico in August 2003 as part of IJCAI 2003, the 18th International Joint Conference on Artificial Intelligence.
The 17 revised full papers presented were carefully selected and include extended versions of some of the papers presented at the ITWP 2003 workshop as well as a number of invited chapters by leading researchers in the field of Intelligent Techniques for Web Personalization. The papers are organized in topical sections on user modelling, recommender systems, enabling technologies, personalized information access, and systems and applications.
Author(s): Sarabjot Singh Anand, Bamshad Mobasher (auth.), Bamshad Mobasher, Sarabjot Singh Anand (eds.)
Series: Lecture Notes in Computer Science 3169 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2005
Language: English
Pages: 328
Tags: Artificial Intelligence (incl. Robotics); Computer Communication Networks; Information Storage and Retrieval; User Interfaces and Human Computer Interaction; Computers and Society; Business Information Systems
Front Matter....Pages -
Intelligent Techniques for Web Personalization....Pages 1-36
Modeling Web Navigation: Methods and Challenges....Pages 37-52
The Traits of the Personable....Pages 53-68
Addressing Users’ Privacy Concerns for Improving Personalization Quality: Towards an Integration of User Studies and Algorithm Evaluation....Pages 69-88
Case-Based Recommender Systems: A Unifying View....Pages 89-113
Improving the Performance of Recommender Systems That Use Critiquing....Pages 114-132
Hybrid Systems for Personalized Recommendations....Pages 133-152
Collaborative Filtering Using Associative Neural Memory....Pages 153-168
Scaling Down Candidate Sets Based on the Temporal Feature of Items for Improved Hybrid Recommendations....Pages 169-186
Discovering Interesting Navigations on a Web Site Using SAM I ....Pages 187-200
Personalisation of Web Search....Pages 201-228
The Compass Filter: Search Engine Result Personalization Using Web Communities....Pages 229-240
Predicting Web Information Content....Pages 241-254
Mobile Portal Personalization: Tools and Techniques....Pages 255-271
IKUM: An Integrated Web Personalization Platform Based on Content Structures and User Behavior....Pages 272-288
A Semantic-Based User Privacy Protection Framework for Web Services....Pages 289-305
Web Personalisation for Users Protection: A Multi-agent Method....Pages 306-323
Back Matter....Pages -
