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News@hand: A Semantic Web Approach to Recommending News

  • Iván Cantador
  • Alejandro Bellogín
  • Pablo Castells
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5149)

Abstract

We present News@hand, a news recommender system which applies semantic-based technologies to describe and relate news contents and user preferences in order to produce enhanced recommendations. The exploitation of conceptual information describing contents and user profiles, along with the capability of inferring knowledge from the semantic relations defined in the ontologies, enabling different content-based collaborative recommendation models, are the key distinctive aspects of the system. The multi-domain portability, the multi-media source applicability, and addressing of some limitations of current recommender systems are the main benefits of our proposed approach.

Keywords

recommender systems ontologies personalisation user modelling group modelling semantic web 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Iván Cantador
    • 1
  • Alejandro Bellogín
    • 1
  • Pablo Castells
    • 1
  1. 1.Escuela Politécnica SuperiorUniversidad Autónoma de MadridMadridSpain

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