Personal Content Recommender Based on a Hierarchical User Model for the Selection of TV Programmes

@article{Pogacnik2005PersonalCR,
  title={Personal Content Recommender Based on a Hierarchical User Model for the Selection of TV Programmes},
  author={Matevz Pogacnik and Jurij F. Tasic and Marko Meza and Andrej Kosir},
  journal={User Modeling and User-Adapted Interaction},
  year={2005},
  volume={15},
  pages={425-457}
}
In this paper we present our approach to user modeling for a personalized selection of multimedia content tested on a corpus of TV programmes. The idea of this approach is to classify content (TV programmes) based on the calculation of similarities between the description of content and the user model for each description attribute. Calculated similarities are then combined into a classification decision using the Support Vector Machines. The basis for the calculation of similarities is a… CONTINUE READING
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