Linked Data-based Conceptual Modelling for Recommendation: A FCA-Based Approach

  • Angel Castellanos
  • Ana García-Serrano
  • Juan Cigarrán
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 188)

Abstract

In a recommendation task it is crucial to have an accurate content-based description of the users and the items. Linked Open Data (LOD) has been demonstrated as one of the best ways of obtaining this kind of content. The main question is to know how useful the LOD information is in inferring user preferences and how to obtain it. We propose a novel approach for Content Modelling and Recommendation based on Formal Concept Analysis (FCA). The approach is based in the modelling of the user and content related information, enriched with LOD, and in a new algorithm to analyze the models and recommend new content. The framework provided by the ESWC 2014 Recommendation Challenge is used for the evaluation. The results are within the average range of other participants, but further work has to be carried out to refine the approach using LOD information.

Keywords

Linked Data Recommender Systems Formal Concept Analysis 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Angel Castellanos
    • 1
  • Ana García-Serrano
    • 1
  • Juan Cigarrán
    • 1
  1. 1.ETSI InformáticaUniversidad Nacional de educación a Distancia (UNED)MadridSpain

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