Fab: content-based, collaborative recommendation
Communications of the ACM
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
A general framework for adaptive processing of data structures
IEEE Transactions on Neural Networks
Recursive neural networks and graphs: dealing with cycles
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
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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.