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Cataldo Musto
Title
Cited by
Cited by
Year
Semantics-aware content-based recommender systems
M Gemmis, P Lops, C Musto, F Narducci, G Semeraro
Recommender systems handbook, 119-159, 2015
2742015
A Comparison of Lexicon-based Approaches for Sentiment Analysis of Microblog Posts.
C Musto, G Semeraro, M Polignano
DART@ AI* IA, 59-68, 2014
1472014
Learning word embeddings from wikipedia for content-based recommender systems
C Musto, G Semeraro, M Gemmis, P Lops
European conference on information retrieval, 729-734, 2016
1192016
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
1162015
Preference learning in recommender systems
M De Gemmis, L Iaquinta, P Lops, C Musto, F Narducci, G Semeraro
Preference Learning 41, 41-55, 2009
1022009
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
962019
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
832016
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
762015
Enhanced vector space models for content-based recommender systems
C Musto
Proceedings of the fourth ACM conference on Recommender systems, 361-364, 2010
742010
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
732013
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
722017
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation.
C Musto, G Semeraro, M De Gemmis, P Lops
Recsys posters, 2015
672015
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
662017
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
652019
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 andá…, 2017
522017
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 andá…, 2016
522016
Semantics-aware recommender systems exploiting linked open data and graph-based features
C Musto, P Lops, M de Gemmis, G Semeraro
Companion Proceedings of the The Web Conference 2018, 457-460, 2018
492018
Mapping Twitter hate speech towards social and sexual minorities: A lexicon-based approach to semantic content analysis
V Lingiardi, N Carone, G Semeraro, C Musto, M D’Amico, S Brena
Behaviour & Information Technology 39 (7), 711-721, 2020
462020
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
452015
Concept-based item representations for a cross-lingual content-based recommendation process
F Narducci, P Basile, C Musto, P Lops, A Caputo, M de Gemmis, ...
Information Sciences 374, 15-31, 2016
442016
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Articles 1–20