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

Sense-Based user Modelling for Web Sites

Strapparava, Carlo;Magnini, Bernardo;
2000-01-01

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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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/122
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