Sense-Based User Modelling for Web Sites

Authors:
Carlo Strapparava;Bernardo Magnini;Anna Stefani
Affiliations:
-;-;-
Venue:
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Year:
2000

Citing 3
Cited 1

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Improving User Modelling with Content-Based Techniques

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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.