CBMI 1999, 1st European Workshop on Content-Based Multimedia Indexing, October 25-27 1999, Toulouse, France
Information filtering is a key technology for the creation of Web sites, which are adapted to the user's needs. In this paper we identify collaborative filtering and content-based filtering as independent technologies for information filtering. We apply both technologies in our prototype user-adapting Web site, the Active WebMuseum, a recommender system for art paintings. Our new approach extends existing user profiles with content-based information gained through automatic image indexing. These extensions lead to a better performing collaborative filtering system. We validate our approach in on-line experiments.
Type:
Conférence
City:
Toulouse
Date:
1999-10-27
Department:
Data Science
Eurecom Ref:
261
Copyright:
© 1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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