Abstract
Search agents provide effective means to find information in the World-Wide Web based on user-submitted queries. As more and more information becomes available and queries therefore should be more precise, there's a growing need for navigational tools. This paper introduces a new relevance measure called contextual relevance which is based on an analysis of term occurrence frequency in documents matching a user-submitted query. We suggest this measure could be used to focus queries into those documents which most generally describe the contents of the matching documents.
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© 1998 Springer-Verlag Berlin Heidelberg
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Korpimies, K., Ukkonen, E. (1998). Searching for general documents. In: Andreasen, T., Christiansen, H., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 1998. Lecture Notes in Computer Science, vol 1495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056002
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DOI: https://doi.org/10.1007/BFb0056002
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