Abstract
To allow people in closed groups such as clubs to more efficiently retrieve documents from the WWW, this paper proposes a retrieval system that incrementally optimizes a number of fixed search goals. Optimization involves observing how people in the group rate the documents returned in comparable searches. The search goal selected by the user allows the system to effectively (and automatically) prune the search results retrieved by free keyword searches. Tests show that the system provides better performance than existing search heuristics.
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© 2001 Springer-Verlag Berlin Heidelberg
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Toda, H., Enomoto, T., Satoh, T. (2001). Goal-Oriented Information Retrieval Using Feedback from Users. In: Wang, X.S., Yu, G., Lu, H. (eds) Advances in Web-Age Information Management. WAIM 2001. Lecture Notes in Computer Science, vol 2118. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47714-4_7
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DOI: https://doi.org/10.1007/3-540-47714-4_7
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