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A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks.

A. Suglia, C. Greco, C. Musto, M. de Gemmis, P. Lops, and G. Semeraro. UMAP, page 202-211. ACM, (2017)

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Alexandra Musto

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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)Combining Collaborative and Content-Based Techniques for Tag Recommendation.C. Musto, F. Narducci, P. Lops, and M. de Gemmis. EC-Web, volume 61 of Lecture Notes in Business Information Processing, page 13-23. Springer, (2010)A framework for Personalized Wealth Management exploiting Case-Based Recommender Systems.C. Musto, G. Semeraro, M. de Gemmis, and P. Lops. Intelligenza Artificiale, 9 (1): 89-103 (2015)Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles.F. Narducci, C. Musto, G. Semeraro, P. Lops, and M. de Gemmis. UMAP, volume 7899 of Lecture Notes in Computer Science, page 350-352. Springer, (2013)Integrating a Content-Based Recommender System into Digital Libraries for Cultural Heritage.C. Musto, F. Narducci, P. Lops, M. de Gemmis, and G. Semeraro. IRCDL, volume 91 of Communications in Computer and Information Science, page 27-38. Springer, (2010)Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based features.C. Musto, P. Lops, M. de Gemmis, and G. Semeraro. Knowl. Based Syst., (2017)Random Indexing for Content-Based Recommender Systems.C. Musto, P. Lops, M. de Gemmis, and G. Semeraro. IIR, volume 704 of CEUR Workshop Proceedings, CEUR-WS.org, (2011)TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning.F. Narducci, C. Musto, M. de Gemmis, P. Lops, and G. Semeraro. Inf. Syst. Frontiers, 20 (6): 1157-1171 (2018)Workshop on Explainable User Models and Personalized Systems (ExUM 2021).C. Musto, N. Tintarev, O. Inel, M. Polignano, G. Semeraro, and J. Ziegler. UMAP (Adjunct Publication), page 211-212. ACM, (2021)Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint.G. Spillo, A. Filippo, C. Musto, M. Milano, and G. Semeraro. RecSys, page 856-862. ACM, (2023)

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Disambiguation of "Musto, Cataldo"

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A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks.

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Alexandra Musto

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Disambiguation of "Musto, Cataldo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks.

Please choose a person to relate this publication to

Alexandra Musto

Other publications of authors with the same name

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URL
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Chicago
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A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks.