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Disambiguating Search by Leveraging a Social Context Based on the Stream of User’s Activity

  • Tomáš Kramár
  • Michal Barla
  • Mária Bieliková
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6075)

Abstract

Older studies have proved that when searching information on the Web, users tend to write short queries, unconsciously trying to minimize the cognitive load. However, as these short queries are very ambiguous, search engines tend to find the most popular meaning – someone who does not know anything about cascading stylesheets might search for a music band called css and be very surprised about the results. In this paper we propose a method which can infer additional keywords for a search query by leveraging a social network context and a method to build this network from the stream of user’s activity on the Web.

Keywords

Community Detection Query Expansion Original Query Keyword Extraction Implicit Rating 
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

  • Tomáš Kramár
    • 1
  • Michal Barla
    • 1
  • Mária Bieliková
    • 1
  1. 1.Faculty of Informatics and Information TechnologySlovak University of TechnologyBratislavaSlovakia

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