Using Thematic Ontologies for User- and Group-Based Adaptive Personalization in Web Searching

This paper presents Prospector, an adaptive meta-search layer, which performs personalized re-ordering of search results. Prospector combines elements from two approaches to adaptive search support: (a) collaborative web searching; and, (b) personalized searching using semantic metadata. The paper focuses on the way semantic metadata and the users' search behavior are utilized for user- and group- modeling, as well as on how these models are used to re-rank results returned for individual queries. The paper also outlines past evaluation activities related to Prospector, and discusses potential applications of the approach for the adaptive retrieval of multimedia documents.

• Type: Conference
• Year: 2008
• Where: AMR
• Authors: Alexandros Paramythis, Florian König, Christian Schwendtner, Lex van Velsen
• Keywords: AMR 2008, Multimedia, Paper Presents Prospector, Prospector Combines Elements, Semantic Metadata