04658nam 22007695 450 99646573210331620200703042328.010.1007/11577935(CKB)1000000000213359(SSID)ssj0000318399(PQKBManifestationID)11239926(PQKBTitleCode)TC0000318399(PQKBWorkID)10308561(PQKB)11420090(DE-He213)978-3-540-31655-8(MiAaPQ)EBC3068331(PPN)123098475(EXLCZ)99100000000021335920100715d2005 u| 0engurnn#008mamaatxtccrIntelligent 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 Anand1st ed. 2005.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2005.1 online resource (VIII, 328 p.)Lecture Notes in Artificial Intelligence ;3169Bibliographic Level Mode of Issuance: MonographPrinted edition: 9783540298465 Includes bibliographic references and index.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.Lecture Notes in Artificial Intelligence ;3169Artificial intelligenceComputer communication systemsInformation storage and retrievalUser interfaces (Computer systems)Computers and civilizationInformation technologyBusiness—Data processingArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032User Interfaces and Human Computer Interactionhttps://scigraph.springernature.com/ontologies/product-market-codes/I18067Computers and Societyhttps://scigraph.springernature.com/ontologies/product-market-codes/I24040IT in Businesshttps://scigraph.springernature.com/ontologies/product-market-codes/522000Artificial intelligence.Computer communication systems.Information storage and retrieval.User interfaces (Computer systems).Computers and civilization.Information technology.Business—Data processing.Artificial Intelligence.Computer Communication Networks.Information Storage and Retrieval.User Interfaces and Human Computer Interaction.Computers and Society.IT in Business.004.678Mobasher Bamshadedthttp://id.loc.gov/vocabulary/relators/edtAnand Sarabjot Singhedthttp://id.loc.gov/vocabulary/relators/edtBOOK996465732103316Intelligent Techniques for Web Personalization772109UNISA