Abstract
In practice, few of the documents returned by a search engine are valuable to a user. Which documents are valuable depends on the context of the query. In this paper we propose a framework for dynamic conceptual clustering of web documents based on clusters of users that share common interests. It can support personalization of a search based on a search engine that ‘knows’ the context of the user information needs and uses it to tailor the search results.
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© 2001 Springer-Verlag Berlin Heidelberg
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Dichev, C. (2001). A Framework for Context-Driven Web Resource Discovery. In: Akman, V., Bouquet, P., Thomason, R., Young, R. (eds) Modeling and Using Context. CONTEXT 2001. Lecture Notes in Computer Science(), vol 2116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44607-9_37
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DOI: https://doi.org/10.1007/3-540-44607-9_37
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Online ISBN: 978-3-540-44607-1
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