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- Title
Semantic user profiling techniques for personalised multimedia recommendation.
- Authors
Hopfgartner, Frank; Jose, Joemon M.
- Abstract
Due to the explosion of news materials available through broadcast and other channels, there is an increasing need for personalised news video retrieval. In this work, we introduce a semantic-based user modelling technique to capture users’ evolving information needs. Our approach exploits implicit user interaction to capture long-term user interests in a profile. The organised interests are used to retrieve and recommend news stories to the users. In this paper, we exploit the Linked Open Data Cloud to identify similar news stories that match the users’ interest. We evaluate various recommendation parameters by introducing a simulation-based evaluation scheme.
- Subjects
SEMANTIC Web; MULTIMEDIA systems; INTERNET; BROADCAST data systems; COMPUTER-generated imagery; AUDIOVISUAL archives; INTERNET users; MARKOV processes; ONTOLOGIES (Information retrieval); CLOUD computing
- Publication
Multimedia Systems, 2010, Vol 16, Issue 4/5, p255
- ISSN
0942-4962
- Publication type
Article
- DOI
10.1007/s00530-010-0189-6