A live-user evaluation of collaborative web search

  • Authors:
  • Barry Smyth;Evelyn Balfe;Oisin Boydell;Keith Bradley;Peter Briggs;Maurice Coyle;Jill Freyne

  • Affiliations:
  • Smart Media Institute, Department of Computer Science, University College Dublin, Ireland;Smart Media Institute, Department of Computer Science, University College Dublin, Ireland;Smart Media Institute, Department of Computer Science, University College Dublin, Ireland;Smart Media Institute, Department of Computer Science, University College Dublin, Ireland;Smart Media Institute, Department of Computer Science, University College Dublin, Ireland;Smart Media Institute, Department of Computer Science, University College Dublin, Ireland;Smart Media Institute, Department of Computer Science, University College Dublin, Ireland

  • Venue:
  • IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
  • Year:
  • 2005

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Abstract

Collaborative Web search exploits repetition and regularity within the query-space of a community of like-minded individuals in order to improve the quality of search results. In short, search results that have been judged to be relevant for past queries are promoted in response to similar queries that occur in the future. In this paper we present the results of a large-scale evaluation of this approach, in a corporate Web search scenario, which shows that significant benefits are available to its users.