Cross-domain mediation in collaborative filtering

Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

93 Citations (Scopus)


One of the main problems of collaborative filtering recommenders is the sparsity of the ratings in the users-items matrix, and its negative effect on the prediction accuracy. This paper addresses this issue applying cross-domain mediation of collaborative user models, i.e., importing and aggregating vectors of users’ ratings stored by collaborative systems operating in different application domains. The paper presents several mediation approaches and initial experimental evaluation demonstrating that the mediation can improve the accuracy of the generated predictions.
Original languageEnglish
Title of host publicationUser Modeling 2007
Subtitle of host publication11th International Conference, UM 2007. Proceedings
EditorsCristina Conati, Kathleen McCoy, Georgios Paliouras
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Number of pages5
ISBN (Electronic)9783540730781
ISBN (Print)9783540730774
Publication statusPublished - 2007
Externally publishedYes
EventInternational Conference on User Modeling (11th : 2007) - Corfu, Greece
Duration: 25 Jun 200729 Jun 2007

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


ConferenceInternational Conference on User Modeling (11th : 2007)
CityCorfu, Greece


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