Abstract
With the growing popularity of the World Wide Web, the amount of available information is so great that finding the right and useful information becomes a very hard task for an end user. In this paper, we propose a new approach for personal Web information retrieval. The originality of our approach is a choice of indexing terms depending on the user request but also on his profile. The general idea is to consider that the need of a user depends on his request but also on his knowledge acquired through time on the thematic of his request.
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References
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Danilowicz, C., Nguyen, H.C.: Using user profiles in intelligent information retrieval. In: Proceedings of the 13th International Symposium on Foundations of Intelligent Systems, pp. 223–231. Springer, Heidelberg (2002)
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© 2004 Springer-Verlag Berlin Heidelberg
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Arezki, R., Poncelet, P., Dray, G., Pearson, D.W. (2004). Web Information Retrieval Based on User Profile. In: De Bra, P.M.E., Nejdl, W. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2004. Lecture Notes in Computer Science, vol 3137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27780-4_31
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DOI: https://doi.org/10.1007/978-3-540-27780-4_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22895-0
Online ISBN: 978-3-540-27780-4
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