Experiences with selecting search engines using metasearch
ACM Transactions on Information Systems (TOIS)
Improving automatic query expansion
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The anatomy of a large-scale hypertextual Web search engine
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Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
User interactions with everyday applications as context for just-in-time information access
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SearchPad: explicit capture of search context to support Web search
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DEADLINER: building a new niche search engine
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Placing search in context: the concept revisited
Proceedings of the 10th international conference on World Wide Web
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Context and Page Analysis for Improved Web Search
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Improving Category Specific Web Search by Learning Query Modifications
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Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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An architecture for a collaborative bibliographic database
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Personalized retrieval in social bookmarking
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A live-user evaluation of collaborative web search
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Query Disambiguation Based on Novelty and Similarity User's Feedback
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
An efficient collaborative information retrieval system by incorporating the user profile
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
Role-based results redistribution for collaborative information retrieval
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Network flow for collaborative ranking
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ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
An analysis of query similarity in collaborative web search
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Manipulating the relevance models of existing search engines
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Enhancing web search result lists using interaction histories
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Information Processing and Management: an International Journal
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As the search engine arms-race continues, search engines are constantly looking for ways to improve the manner in which they respond to user queries. Given the vagueness of Web search queries, recent research has focused on ways to introduce context into the search process as a means of clarifying vague, under-specified or ambiguous query terms. In this paper we describe a novel approach to using context in Web search that seeks to personalize the results of a generic search engine for the needs of a specialist community of users. In particular we describe two separate evaluations in detail that demonstrate how the collaborative search method has the potential to deliver significant search performance benefits to end-users while avoiding many of the privacy and security concerns that are commonly associated with related personalization research.