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Intelligent Techniques for Web Personalization [electronic resource] : IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers / edited by Bamshad Mobasher, Sarabjot Singh Anand.

Contributor(s): Mobasher, Bamshad [editor.] | Anand, Sarabjot Singh [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 3169Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005.Description: VIII, 328 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540316558.Subject(s): 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 BusinessAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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.
In: Springer Nature eBook
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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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