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I-SPY — Anonymous, Community-Based Personalization by Collaborative Meta-Search

  • Barry Smyth
  • Jill Freyne
  • Maurice Coyle
  • Peter Briggs
  • Evelyn Balfe

Abstract

Today’s Web search engines often fail to satisfy the needs of their users, in part because search engines do not respond well to the vague queries of many users. One potentially promising solution involves the introduction of context into the search process as a means of elaborating vague queries. 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.

Keywords

Query Term Search Service Computer Science Student Query Elaboration Open Directory Project 
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 London 2004

Authors and Affiliations

  • Barry Smyth
    • 1
    • 2
  • Jill Freyne
    • 1
  • Maurice Coyle
    • 1
  • Peter Briggs
    • 1
  • Evelyn Balfe
    • 1
  1. 1.Smart Media InstituteUniversity College DublinDublinIreland
  2. 2.ChangingWorlds Ltd.DublinIreland

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