Semantic Contextualisation of Social Tag-Based Profiles and Item Recommendations

  • Iván Cantador
  • Alejandro Bellogín
  • Ignacio Fernández-Tobías
  • Sergio López-Hernández
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 85)


We present an approach that efficiently identifies the semantic meanings and contexts of social tags within a particular folksonomy, and exploits them to build contextualised tag-based user and item profiles. We apply our approach to a dataset obtained from Delicious social bookmarking system, and evaluate it through two experiments: a user study consisting of manual judgements of tag disambiguation and contextualisation cases, and an offline study measuring the performance of several tag-powered item recommendation algorithms by using contextualised profiles. The results obtained show that our approach is able to accurately determine the actual semantic meanings and contexts of tag annotations, and allow item recommenders to achieve better precision and recall on their predictions.


social tagging folksonomy ambiguity semantic contextualisation clustering user modelling recommender systems 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Iván Cantador
    • 1
  • Alejandro Bellogín
    • 1
  • Ignacio Fernández-Tobías
    • 1
  • Sergio López-Hernández
    • 1
  1. 1.Departamento de Ingeniería InformáticaUniversidad Autónoma de MadridMadridSpain

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