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Combining Collaborative and Content-Based Techniques for Tag Recommendation.

C. Musto, F. Narducci, P. Lops, и M. de Gemmis. EC-Web, том 61 из Lecture Notes in Business Information Processing, стр. 13-23. Springer, (2010)

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Alexandra Musto

Другие публикации лиц с тем же именем

Learning Preference Models in Recommender Systems.M. de Gemmis, L. Iaquinta, P. Lops, C. Musto, F. Narducci, и G. Semeraro. Preference Learning, Springer, (2010)Personalized finance advisory through case-based recommender systems and diversification strategies.C. Musto, G. Semeraro, P. Lops, M. de Gemmis, и G. Lekkas. Decis. Support Syst., (2015)First Workshop on Adaptive and Personalized Explainable User Interfaces (APEx-UI 2022).E. Purificato, C. Musto, P. Lops, и E. Luca. IUI Companion, стр. 1-3. ACM, (2022)Exploring the Effects of Natural Language Justifications in Food Recommender Systems.C. Musto, A. Starke, C. Trattner, A. Rapp, и G. Semeraro. UMAP, стр. 147-157. ACM, (2021)An IR-Based Approach for Tag Recommendation.C. Musto, F. Narducci, M. de Gemmis, P. Lops, и G. Semeraro. IIR, том 560 из CEUR Workshop Proceedings, стр. 65-69. CEUR-WS.org, (2010)Comparing Word Sense Disambiguation and Distributional Models for Cross-Language Information Filtering.C. Musto, F. Narducci, P. Basile, P. Lops, M. de Gemmis, и G. Semeraro. IIR, том 835 из CEUR Workshop Proceedings, стр. 117-120. CEUR-WS.org, (2012)Automatic Selection of Linked Open Data Features in Graph-based Recommender Systems.C. Musto, P. Basile, M. de Gemmis, P. Lops, G. Semeraro, и S. Rutigliano. CBRecSys@RecSys, том 1448 из CEUR Workshop Proceedings, стр. 10-13. CEUR-WS.org, (2015)Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation.C. Musto, G. Semeraro, M. de Gemmis, и P. Lops. RecSys Posters, том 1441 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)Towards a Social Robot as Interface for Tourism Recommendations.B. Carolis, P. Lops, C. Musto, и G. Semeraro. cAESAR, том 2724 из CEUR Workshop Proceedings, стр. 28-33. CEUR-WS.org, (2020)Narrative Recommendations based on Natural Language Preference Elicitation for a Virtual Assistant for the Movie Domain.A. Martina, C. Musto, A. Iovine, M. de Gemmis, F. Narducci, и G. Semeraro. DP@AI*IA, том 3419 из CEUR Workshop Proceedings, стр. 95-104. CEUR-WS.org, (2022)