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Enhancing Case-Based, Collaborative Web Search

  • Oisín Boydell
  • Barry Smyth
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4626)

Abstract

This paper describes and evaluates a case-based approach to personalizing Web search by post-processing the results returned by a Web search engine to reflect the interests of a community of like-minded searchers. The search experiences of a community of users are captured as a case base of textual cases, which serves as a way to bias future search results in line with community interests.

Keywords

Query Term Result Page Similar Query Search Session Target Page 
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 2007

Authors and Affiliations

  • Oisín Boydell
    • 1
  • Barry Smyth
    • 1
  1. 1.Adaptive Information Cluster, School of Computer Science and Informatics, University College Dublin, Dublin 4Ireland

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