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A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation

Degemmis, Marco, Lops, Pasquale, Semeraro, and Giovanni. User Modeling and User-Adapted Interaction, 17 (3): 217--255 (July 2007)
DOI: 10.1007/s11257-006-9023-4

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A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formationDegemmis, Marco, Lops, Pasquale, Semeraro, and Giovanni. User Modeling and User-Adapted Interaction, 17 (3): 217--255 (July 2007)A Layered Ontology-Based Architecture for Integrating Geographic Information.A. Buccella, D. Gendarmi, F. Lanubile, G. Semeraro, A. Cechich, and A. Colagrossi. New Challenges in Applied Intelligence Technologies, volume 134 of Studies in Computational Intelligence, Springer, (2008)Semantic Indexing of Documents for Semantic Digital Libraries.P. Basile, M. Degemmis, A. Gentile, L. Iaquinta, P. Lops, and G. Semeraro. IRCDL, page 41-50. DELOS: an Association for Digital Libraries, (2008)A Relevance Feedback Method for Discovering User Profiles from TextM. Degemmis, P. Lops, S. Ferilli, N. Mauro, T. Basile, and G. Semeraro. Proceedings of the Workshop on Statistical Approaches to Web Mining, SAWM'04, (2004)Extraction of User Profiles by Discovering Preferences through Machine Learning.M. Degemmis, P. Lops, G. Semeraro, and F. Abbattista. IIS, page 69-78. Springer, (2003)A Hybrid Collaborative Recommender System Based on User Profiles.M. Degemmis, P. Lops, G. Semeraro, M. Costabile, O. Licchelli, and S. Guida. ICEIS (4), page 162-169. (2004)Cross-lingual link discovery with TR-ESA.F. Narducci, M. Palmonari, and G. Semeraro. Inf. Sci., (2017)Content-Based Recommendation Services for Personalized Digital Libraries.G. Semeraro, P. Basile, M. Degemmis, and P. Lops. DELOS, volume 4877 of Lecture Notes in Computer Science, page 77-86. Springer, (2007)UMAP 2017 THUM Workshop Chairs' Welcome & Organization.C. Musto, A. Rapp, V. Bogina, F. Cena, F. Hopfgartner, J. Kay, D. Konopnicki, T. Kuflik, B. Mobasher, and G. Semeraro. UMAP (Adjunct Publication), page 368-369. ACM, (2017)Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013.M. de Gemmis, T. Noia, O. Lassila, P. Lops, T. Lukasiewicz, and G. Semeraro. RecSys, page 483-484. ACM, (2013)

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A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation

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A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation