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.
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https://hdl.handle.net/11365/36421
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