Personalizing Web Search with Folksonomy-Based User and Document Profiles

  • David Vallet
  • Iván Cantador
  • Joemon M. Jose
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5993)


Web search personalization aims to adapt search results to a user based on his tastes, interests and needs. The way in which such personal preferences are captured, modeled and exploited distinguishes the different personalization strategies. In this paper, we propose to represent a user profile in terms of social tags, manually provided by users in folksonomy systems to describe, categorize and organize items of interest, and investigate a number of novel techniques that exploit the users’ social tags to re-rank results obtained with a Web search engine. An evaluation conducted with a dataset from Delicious social bookmarking system shows that our personalization techniques clearly outperform state of the art approaches.


User Profile Personalization Approach Result List Social Bookmark Mean Reciprocal Ranking 
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 2010

Authors and Affiliations

  • David Vallet
    • 1
    • 2
  • Iván Cantador
    • 1
    • 2
  • Joemon M. Jose
    • 1
  1. 1.University of GlasgowGlasgowUK
  2. 2.Universidad Autónoma de MadridMadridSpain

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