The Semantic Web pp 367-380

Web Search Personalization Via Social Bookmarking and Tagging

  • Michael G. Noll
  • Christoph Meinel
Conference paper

DOI: 10.1007/978-3-540-76298-0_27

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4825)
Cite this paper as:
Noll M.G., Meinel C. (2007) Web Search Personalization Via Social Bookmarking and Tagging. In: Aberer K. et al. (eds) The Semantic Web. Lecture Notes in Computer Science, vol 4825. Springer, Berlin, Heidelberg

Abstract

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.

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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