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Multilayered Semantic Social Network Modeling by Ontology-Based User Profiles Clustering: Application to Collaborative Filtering

  • Iván Cantador
  • Pablo Castells
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4248)

Abstract

We propose a multilayered semantic social network model that offers different views of common interests underlying a community of people. The applicability of the proposed model to a collaborative filtering system is empirically studied. Starting from a number of ontology-based user profiles and taking into account their common preferences, we automatically cluster the domain concept space. With the obtained semantic clusters, similarities among individuals are identified at multiple semantic preference layers, and emergent, layered social networks are defined, suitable to be used in collaborative environments and content recommenders.

Keywords

User Preference User Profile Domain Ontology Collaborative Filter Cluster Level 
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 2006

Authors and Affiliations

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

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