Table of Contents:
  • Intelligent Techniques for Web Personalization
  • Intelligent Techniques for Web Personalization
  • User Modelling
  • Modeling Web Navigation: Methods and Challenges
  • The Traits of the Personable
  • Addressing Users’ Privacy Concerns for Improving Personalization Quality: Towards an Integration of User Studies and Algorithm Evaluation
  • Recommender Systems
  • Case-Based Recommender Systems: A Unifying View
  • Improving the Performance of Recommender Systems That Use Critiquing
  • Hybrid Systems for Personalized Recommendations
  • Enabling Technologies
  • Collaborative Filtering Using Associative Neural Memory
  • Scaling Down Candidate Sets Based on the Temporal Feature of Items for Improved Hybrid Recommendations
  • Discovering Interesting Navigations on a Web Site Using SAM I
  • Personalized Information Access
  • Personalisation of Web Search
  • The Compass Filter: Search Engine Result Personalization Using Web Communities
  • Predicting Web Information Content
  • Systems and Applications
  • Mobile Portal Personalization: Tools and Techniques
  • IKUM: An Integrated Web Personalization Platform Based on Content Structures and User Behavior
  • A Semantic-Based User Privacy Protection Framework for Web Services
  • Web Personalisation for Users Protection: A Multi-agent Method.