Cataldo Musto
Title
Cited by
Cited by
Year
Semantics-aware content-based recommender systems
M De Gemmis, P Lops, C Musto, F Narducci, G Semeraro
Recommender Systems Handbook, 119-159, 2015
1582015
A Comparison of Lexicon-based Approaches for Sentiment Analysis of Microblog Posts.
C Musto, G Semeraro, M Polignano
DART@ AI* IA, 59-68, 2014
932014
Preference learning in recommender systems
M De Gemmis, L Iaquinta, P Lops, C Musto, F Narducci, G Semeraro
Preference Learning 41, 41-55, 2009
872009
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
772016
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
702015
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
682013
Enhanced vector space models for content-based recommender systems
C Musto
Proceedings of the fourth ACM conference on Recommender systems, 361-364, 2010
532010
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
482016
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
482015
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
422016
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation.
C Musto, G Semeraro, M De Gemmis, P Lops
Recsys posters, 2015
392015
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
372017
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
352012
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
342015
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
342011
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 Personalizationá…, 2014
292014
Enhanced semantic tv-show representation for personalized electronic program guides
C Musto, F Narducci, P Lops, G Semeraro, M De Gemmis, M Barbieri, ...
International Conference on User Modeling, Adaptation, and Personalizationá…, 2012
282012
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
272016
Linked Open Data-enabled Strategies for Top-N Recommendations.
C Musto, P Basile, P Lops, M De Gemmis, G Semeraro
CBRecSys@ RecSys, 49-56, 2014
272014
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
252017
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Articles 1–20