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Semeraro, Giovanni
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Distributed systems and applications of information filtering and retrieval: DART 2012 revised and invited papers
Lai C., Giuliani A., Semeraro G., Springer Publishing Company, Incorporated, New York, NY, 2013. 200 pp. Type: Book (978-3-642406-20-1)
This book is a collection of eight research papers that have been revised and extended from the original invited presentations at the special session on Information Filtering and Retrieval: Novel Distributed Systems and Applications (D...
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Aug 29 2014
Content-based and collaborative techniques for tag recommendation: an empirical evaluation
Lops P., De Gemmis M., Semeraro G., Musto C., Narducci F. Journal of Intelligent Information Systems 40(1): 41-61, 2013. Type: Article
Users need to be able to browse and retrieve Web content. One way of doing this is through the use of tags, which are keywords that users can freely choose to describe and organize Web resources. The use of a tag recommender system&...
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Apr 8 2013
A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation
Degemmis M., Lops P., Semeraro G. User Modeling and User-Adapted Interaction 17(3): 217-255, 2007. Type: Article
On popular e-commerce sites, recommendations derived from a customer’s purchase history are based on collaborative or content-based filtering. Each of these recommendation techniques has shortcomings in terms of efficiency, a...
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Oct 12 2007
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