Abstract
Search Engines of today have evolved from generic ones that find matches based on keywords, to those that provide personalized search based on concepts specified explicitly by the users. In this paper we present an approach to build dynamic user model for personalized search based on the user’s browsing history using Open Directory Project Concept hierarchy that not only learns user’s interest implicitly, but also tracks the temporal evolution and digression of their interests and modifies their profile accordingly.
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© 2005 Springer-Verlag Berlin Heidelberg
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Thenmozhi, D., Annapoorani, G., Baskaran, K., Kumar, S. (2005). User Model for Conceptual and Personalized Search. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_34
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DOI: https://doi.org/10.1007/3-540-32390-2_34
Publisher Name: Springer, Berlin, Heidelberg
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