NAUTILUS is a Web recommender system that exploits a new approach to learn user profiles. The novelty consists of using a structured representation of HTML documents that allows us to split the page into logical contexts (lists, headers, paragraphs,...). The learning algorithm is based on a new neural computational model particularly suited to process structured objects.

Gori, M., Maggini, M., Martinelli, E., Scarselli, F. (2000). Learning user profiles in NAUTILUS. In Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH2000) (pp.323-326). Springer Verlag [10.1007/3-540-44595-1_39].

Learning user profiles in NAUTILUS

GORI, MARCO;MAGGINI, MARCO;MARTINELLI, ENRICO;SCARSELLI, FRANCO
2000-01-01

Abstract

NAUTILUS is a Web recommender system that exploits a new approach to learn user profiles. The novelty consists of using a structured representation of HTML documents that allows us to split the page into logical contexts (lists, headers, paragraphs,...). The learning algorithm is based on a new neural computational model particularly suited to process structured objects.
2000
9783540679103
Gori, M., Maggini, M., Martinelli, E., Scarselli, F. (2000). Learning user profiles in NAUTILUS. In Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH2000) (pp.323-326). Springer Verlag [10.1007/3-540-44595-1_39].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/36421
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