Collaborative web search

  • Authors:
  • Barry Smyth;Evelyn Balfe;Peter Briggs;Maurice Coyle;Jill Freyne

  • Affiliations:
  • Smart Media Institute, University College Dublin, Ireland;Smart Media Institute, University College Dublin, Ireland;Smart Media Institute, University College Dublin, Ireland;Smart Media Institute, University College Dublin, Ireland;Smart Media Institute, University College Dublin, Ireland

  • Venue:
  • IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
  • Year:
  • 2003

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Abstract

Web search engines struggle to satisfy the needs of Web users. Users are notoriously poor at representing their needs in the form of a query, and search engines are poor at responding to vague queries. However progress has been made by introducing context into the search process. In this paper we describe and evaluate a novel approach to using context in Web search that adapts a generic search engine for the needs of a specialist community of users. This collaborative search method enjoys significant performance benefits and avoids the privacy and security concerns that are commonly associated with related personalization research.