Property-Based Interest Propagation in Ontology-Based User Model

  • Federica Cena
  • Silvia Likavec
  • Francesco Osborne
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7379)

Abstract

We present an approach for propagation of user interests in ontology-based user models taking into account the properties declared for the concepts in the ontology. Starting from initial user feedback on an object, we calculate user interest in this particular object and its properties and further propagate user interest to other objects in the ontology, similar or related to the initial object. The similarity and relatedness of objects depends on the number of properties they have in common and their corresponding values. The approach we propose can support finer recommendation modalities, considering the user interest in the objects, as well as in singular properties of objects in the recommendation process. We tested our approach for interest propagation with a real adaptive application and obtained an improvement with respect to IS-A-propagation of interest values.

Keywords

Recommender System Semantic Similarity Domain Ontology User Feedback User Interest 
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 2012

Authors and Affiliations

  • Federica Cena
    • 1
  • Silvia Likavec
    • 1
  • Francesco Osborne
    • 1
  1. 1.Dipartimento di InformaticaUniversità di TorinoTorinoItaly

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