| Semantics-aware content-based recommender systems M De Gemmis, P Lops, C Musto, F Narducci, G Semeraro Recommender systems handbook, 119-159, 2015 | 350 | 2015 |
| Trends in content-based recommendation: Preface to the special issue on Recommender systems based on rich item descriptions P Lops, D Jannach, C Musto, T Bogers, M Koolen User Modeling and User-Adapted Interaction 29, 239-249, 2019 | 218 | 2019 |
| A Comparison of Lexicon-based Approaches for Sentiment Analysis of Microblog Posts. C Musto, G Semeraro, M Polignano DART@ AI* IA, 59-68, 2014 | 179 | 2014 |
| 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 | 164 | 2015 |
| Learning word embeddings from wikipedia for content-based recommender systems C Musto, G Semeraro, M De Gemmis, P Lops Advances in Information Retrieval: 38th European Conference on IR Research …, 2016 | 150 | 2016 |
| Preference learning in recommender systems M De Gemmis, L Iaquinta, P Lops, C Musto, F Narducci, G Semeraro Preference Learning 41 (41-55), 48, 2009 | 118 | 2009 |
| 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 | 113 | 2017 |
| 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 | 113 | 2015 |
| 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 | 109 | 2020 |
| Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation. C Musto, G Semeraro, M De Gemmis, P Lops Recsys posters 1441, 2015 | 91 | 2015 |
| 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 | 88 | 2016 |
| 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 | 86 | 2019 |
| Enhanced vector space models for content-based recommender systems C Musto Proceedings of the fourth ACM conference on Recommender systems, 361-364, 2010 | 83 | 2010 |
| 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, 41-61, 2013 | 82 | 2013 |
| 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 | 80 | 2017 |
| 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 | 69 | 2017 |
| HealthAssistantBot: a personal health assistant for the Italian language M Polignano, F Narducci, A Iovine, C Musto, M De Gemmis, G Semeraro IEEE Access 8, 107479-107497, 2020 | 67 | 2020 |
| 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 | 62 | 2018 |
| 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 | 62 | 2016 |
| 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 | 60 | 2015 |
Giovanni SemeraroComputer Science, head of the SWAP 'Antonio Bello' research group, University of Bari Aldo MoroEmail verificata su uniba.it