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. © Springer-Verlag 2004.
CITATION STYLE
Arezki, R., Poncelet, P., Dray, G., & Pearson, D. W. (2004). Web information retrieval based on user profile. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3137, 275–278. https://doi.org/10.1007/978-3-540-27780-4_31
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