Trust-enhanced peer-to-peer collaborative web search

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Title: Trust-enhanced peer-to-peer collaborative web search
Authors: Smyth, Barry
Briggs, Peter
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Date: Dec-2008
Abstract: We spend a lot of our time online using web search services, but even the leading search engines frequently fail to deliver relevant results for the vague queries that are commonplace among today’s web searchers. Interestingly, when we look at the search patterns of link-minded searchers (perhaps friends or colleagues) we do find considerable overlap between their queries and result-selections. This motivates a more collaborative approach to web search, one in which the past search experiences of friends and colleagues can be used to usefully influence our new searches. In this talk we will describe how a novel combination of casebased reasoning, web search, and peer-to-peer networking can be used to develop a platform for personalized web search, which benefits from better quality results, improved robustness against search spam, while offering an increased level of privacy to the individual user.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Subject LCSH: Web search engines
Peer-to-peer architecture (Computer networks)
Web personalization
Case-based reasoning
Language: en
Status of Item: Peer reviewed
Conference Details: Beyond Search: Computational Intelligence for the Web Workshop at the twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008)
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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