Using thematic ontologies for user- and group-based adaptive personalization in web searching

Authors:
Alexandros Paramythis;Florian König;Christian Schwendtner;Lex van Velsen
Affiliations:
Institute for Information Processing and Microprocessor Technology (FIM), Johannes Kepler University, Linz, Austria;Institute for Information Processing and Microprocessor Technology (FIM), Johannes Kepler University, Linz, Austria;Institute for Information Processing and Microprocessor Technology (FIM), Johannes Kepler University, Linz, Austria;Department of Technical and Professional Communication, University of Twente, Enschede, AE, The Netherlands
Venue:
AMR'08 Proceedings of the 6th international conference on Adaptive Multimedia Retrieval: identifying, Summarizing, and Recommending Image and Music
Year:
2008

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Abstract

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.