Abstract
Despite the success of modern Web search engines, challenges remain when it comes to providing people with access to the right information at the right time. In this paper, we describe how a novel combination of case-based reasoning, Web search, and peer-to-peer networking can be used to develop a platform for personalized Web search. This novel approach benefits from better result quality and improved robustness against search spam, while offering an increased level of privacy to the individual user.
This research was supported by Science Foundation Ireland Grant No. 03/IN.3/I361.
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Briggs, P., Smyth, B. (2008). Provenance, Trust, and Sharing in Peer-to-Peer Case-Based Web Search . In: Althoff, KD., Bergmann, R., Minor, M., Hanft, A. (eds) Advances in Case-Based Reasoning. ECCBR 2008. Lecture Notes in Computer Science(), vol 5239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85502-6_6
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DOI: https://doi.org/10.1007/978-3-540-85502-6_6
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