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.
This material is based on works supported by Science Foundation Ireland under Grant No. 03/IN.3/I361.
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Boydell, O., Smyth, B. (2007). Enhancing Case-Based, Collaborative Web Search. In: Weber, R.O., Richter, M.M. (eds) Case-Based Reasoning Research and Development. ICCBR 2007. Lecture Notes in Computer Science(), vol 4626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74141-1_23
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DOI: https://doi.org/10.1007/978-3-540-74141-1_23
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