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Personalized Ontology-Based Recommender Systems for Multimedia Objects

  • Krzysztof Juszczyszyn
  • Przemysław Kazienko
  • Katarzyna Musiał
Part of the Studies in Computational Intelligence book series (SCI, volume 289)

Abstract

A framework for recommendation of multimedia objects based on processing of individual ontologies is proposed in the chapter. The recommendation process takes into account similarities calculated both between objects’ and users’ ontologies, which reflect the social and semantic features existing in the system. The ontologies, which are close to the current context, provide a list of suggestions presented to the user. Each user in the system possesses its own Personal Agent that performs all necessary online tasks. Personal Agents co-operate each other and enrich lists of possible recommendations. The system was developed for the use inthe Flickr multimedia sharing system.

Keywords

Recommender System Personal Agent Current User Media Object Recommendation List 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Krzysztof Juszczyszyn
    • 1
  • Przemysław Kazienko
    • 1
  • Katarzyna Musiał
    • 1
  1. 1.Wrocław University of TechnologyWrocławPoland

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