Intelligent Techniques for Web Personalization IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers / [electronic resource] :
edited by Bamshad Mobasher, Sarabjot Singh Anand.
- 1st ed. 2005.
- VIII, 328 p. online resource.
- Lecture Notes in Artificial Intelligence, 3169 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 3169 .
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.
9783540316558
10.1007/11577935 doi
Artificial intelligence.
Computer networks .
Information storage and retrieval systems.
User interfaces (Computer systems).
Human-computer interaction.
Computers and civilization.
Business information services.
Artificial Intelligence.
Computer Communication Networks.
Information Storage and Retrieval.
User Interfaces and Human Computer Interaction.
Computers and Society.
IT in Business.
Q334-342 TA347.A78
006.3
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.
9783540316558
10.1007/11577935 doi
Artificial intelligence.
Computer networks .
Information storage and retrieval systems.
User interfaces (Computer systems).
Human-computer interaction.
Computers and civilization.
Business information services.
Artificial Intelligence.
Computer Communication Networks.
Information Storage and Retrieval.
User Interfaces and Human Computer Interaction.
Computers and Society.
IT in Business.
Q334-342 TA347.A78
006.3