Cataldo Musto
Cataldo Musto
Department of Computer Science, Università degli Studi di Bari "Aldo Moro"
Vahvistettu sähköpostiosoite verkkotunnuksessa di.uniba.it - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Semantics-aware content-based recommender systems
M De Gemmis, P Lops, C Musto, F Narducci, G Semeraro
Recommender systems handbook, 119-159, 2015
2172015
A Comparison of Lexicon-based Approaches for Sentiment Analysis of Microblog Posts.
C Musto, G Semeraro, M Polignano
DART@ AI* IA, 59-68, 2014
1272014
Learning word embeddings from wikipedia for content-based recommender systems
C Musto, G Semeraro, M de Gemmis, P Lops
European conference on information retrieval, 729-734, 2016
1012016
An investigation on the serendipity problem in recommender systems
M De Gemmis, P Lops, G Semeraro, C Musto
Information Processing & Management 51 (5), 695-717, 2015
932015
Preference learning in recommender systems
M De Gemmis, L Iaquinta, P Lops, C Musto, F Narducci, G Semeraro
Preference Learning 41, 41-55, 2009
912009
Content-based and collaborative techniques for tag recommendation: an empirical evaluation
P Lops, M De Gemmis, G Semeraro, C Musto, F Narducci
Journal of Intelligent Information Systems 40 (1), 41-61, 2013
692013
ExpLOD: a framework for explaining recommendations based on the linked open data cloud
C Musto, F Narducci, P Lops, M De Gemmis, G Semeraro
Proceedings of the 10th ACM Conference on Recommender Systems, 151-154, 2016
652016
Enhanced vector space models for content-based recommender systems
C Musto
Proceedings of the fourth ACM conference on Recommender systems, 361-364, 2010
642010
Personalized finance advisory through case-based recommender systems and diversification strategies
C Musto, G Semeraro, P Lops, M De Gemmis, G Lekkas
Decision Support Systems 77, 100-111, 2015
612015
Introducing linked open data in graph-based recommender systems
C Musto, P Basile, P Lops, M de Gemmis, G Semeraro
Information Processing & Management 53 (2), 405-435, 2017
582017
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation.
C Musto, G Semeraro, M De Gemmis, P Lops
Recsys posters, 2015
532015
Semantics-aware graph-based recommender systems exploiting linked open data
C Musto, P Lops, P Basile, M de Gemmis, G Semeraro
Proceedings of the 2016 conference on user modeling adaptation and …, 2016
492016
A multi-criteria recommender system exploiting aspect-based sentiment analysis of users' reviews
C Musto, M de Gemmis, G Semeraro, P Lops
Proceedings of the eleventh ACM conference on recommender systems, 321-325, 2017
472017
Linked open data-based explanations for transparent recommender systems
C Musto, F Narducci, P Lops, M de Gemmis, G Semeraro
International Journal of Human-Computer Studies 121, 93-107, 2019
452019
A folksonomy-based recommender system for personalized access to digital artworks
G Semeraro, P Lops, M De Gemmis, C Musto, F Narducci
Journal on Computing and Cultural Heritage (JOCCH) 5 (3), 1-22, 2012
412012
Trends in content-based recommendation
P Lops, D Jannach, C Musto, T Bogers, M Koolen
User Modeling and User-Adapted Interaction 29 (2), 239-249, 2019
402019
CrowdPulse: A framework for real-time semantic analysis of social streams
C Musto, G Semeraro, P Lops, M de Gemmis
Information Systems 54, 127-146, 2015
392015
A deep architecture for content-based recommendations exploiting recurrent neural networks
A Suglia, C Greco, C Musto, M De Gemmis, P Lops, G Semeraro
Proceedings of the 25th conference on user modeling, adaptation and …, 2017
382017
Leveraging the linkedin social network data for extracting content-based user profiles
P Lops, M De Gemmis, G Semeraro, F Narducci, C Musto
Proceedings of the fifth ACM conference on Recommender systems, 293-296, 2011
382011
Combining distributional semantics and entity linking for context-aware content-based recommendation
C Musto, G Semeraro, P Lops, M de Gemmis
International Conference on User Modeling, Adaptation, and Personalization …, 2014
372014
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Artikkelit 1–20