Semantic user profiling techniques for personalised multimedia recommendation

Frank Hopfgartner, Joemon M. Jose
2010 Multimedia Systems  
Due to the explosion of news materials available through broadcast and other channels, there is an increasing need for personalized 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
more » ... Cloud to identify similar news stories that match the users' interest. We evaluate various recommendation parameters by introducing a simulation-based evaluation scheme.
doi:10.1007/s00530-010-0189-6 fatcat:nqapk2i67jfttaytbifg33ytia