Personalizing Web Search with Folksonomy-Based User and Document Profiles

  • David Vallet
  • Iván Cantador
  • Joemon M. Jose
Conference paper

DOI: 10.1007/978-3-642-12275-0_37

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5993)
Cite this paper as:
Vallet D., Cantador I., Jose J.M. (2010) Personalizing Web Search with Folksonomy-Based User and Document Profiles. In: Gurrin C. et al. (eds) Advances in Information Retrieval. ECIR 2010. Lecture Notes in Computer Science, vol 5993. Springer, Berlin, Heidelberg

Abstract

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.

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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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