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Autorenporträt
Bamshad Mobasher, DePaul University, Chicago, IL, USA / Sarabjot Singh Anand, University of Warwick, Coventry, UK
Inhaltsangabe
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.
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.
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