Personalized Faceted Navigation for Multimedia Collections

Existing multimedia information retrieval systems provide users with insufficient support for efficient searching for and browsing in multimedia content. Several possible solutions were proposed, such as using faceted metadata search or semantic clusters of search results. We describe the possibilities of using enhanced faceted navigation with support for personalization, collaboration and Semantic Web technologies for multimedia information retrieval. Furthermore, we propose a method of faceted browser adaptation with support for dynamic facet generation based on an automatically acquired user model.