Web Search Personalization Via Social Bookmarking and Tagging

  • Michael G. Noll
  • Christoph Meinel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4825)


In this paper, we present a new approach to web search personalization based on user collaboration and sharing of information about web documents. The proposed personalization technique separates data collection and user profiling from the information system whose contents and indexed documents are being searched for, i.e. the search engines, and uses social bookmarking and tagging to re-rank web search results. It is independent of the search engine being used, so users are free to choose the one they prefer, even if their favorite search engine does not natively support personalization. We show how to design and implement such a system in practice and investigate its feasibility and usefulness with large sets of real-word data and a user study.


Search Engine Search Result Search Query Result Page Result List 
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 2007

Authors and Affiliations

  • Michael G. Noll
    • 1
  • Christoph Meinel
    • 1
  1. 1.Hasso-Plattner-Institut an der Universität PotsdamGermany

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