Cross-technique mediation of user models

Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci

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


Nowadays, personalization is considered a powerful approach for designing more precise and easy to use information search and recommendation tools. Since the quality of the personalization provided depends on the accuracy of the user models (UMs) managed by the system, it would be beneficial enriching these models through mediating partial UMs, built by other services. This paper proposes a cross-technique mediation of the UMs from collaborative to content-based services. According to this approach, content-based recommendations are built for the target users having no content-based user model, knowing his collaborative-based user model only. Experimental evaluation conducted in the domain of movies, shows that for small UMs, the personalization provided using the mediated content-based UMs outperforms the personalization provided using the original collaborative UMs.

Original languageEnglish
Title of host publicationAdaptive Hypermedia and Adaptive Web-Based Systems - 4th International Conference, AH 2006
PublisherSpringer Verlag
Number of pages10
ISBN (Print)3540346961, 9783540346968
StatePublished - 2006
Event4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH 2006 - Dublin, Ireland
Duration: 21 Jun 200623 Jun 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4018 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH 2006

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)


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