Abstract
SiteIF is a personal agent for a news web site that learns user’s interests from the requested pages that are analyzed to generate or to update a model of the user. Exploiting this model, the system anticipates which documents in the web site could be interesting for the user. Using MultiWordNet, a multilingual extension of WordNet, a content-based user model is built as a semantic network whose nodes, independent from the language, represent the word sense frequency rather then word frequency.
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Strapparava, C., Magnini, B., Stefani, A. (2000). Sense-Based User Modelling for Web Sites. In: Brusilovsky, P., Stock, O., Strapparava, C. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2000. Lecture Notes in Computer Science, vol 1892. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44595-1_53
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DOI: https://doi.org/10.1007/3-540-44595-1_53
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