| Content-based recommender systems: State of the art and trends P Lops, M De Gemmis, G Semeraro Recommender systems handbook, 73-105, 2011 | 2955 | 2011 |
| Semantics-aware content-based recommender systems M De Gemmis, P Lops, C Musto, F Narducci, G Semeraro Recommender systems handbook, 119-159, 2015 | 338 | 2015 |
| Alberto: Italian BERT language understanding model for NLP challenging tasks based on tweets M Polignano, P Basile, M De Gemmis, G Semeraro, V Basile CEUR workshop proceedings 2481, 1-6, 2019 | 293 | 2019 |
| Introducing serendipity in a content-based recommender system L Iaquinta, M De Gemmis, P Lops, G Semeraro, M Filannino, P Molino 2008 eighth international conference on hybrid intelligent systems, 168-173, 2008 | 265 | 2008 |
| A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation M Degemmis, P Lops, G Semeraro User Modeling and User-Adapted Interaction 17 (3), 217-255, 2007 | 256 | 2007 |
| Integrating tags in a semantic content-based recommender M De Gemmis, P Lops, G Semeraro, P Basile Proceedings of the 2008 ACM conference on Recommender systems, 163-170, 2008 | 211 | 2008 |
| 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 | 158 | 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 | 142 | 2016 |
| Human decision making and recommender systems L Chen, M De Gemmis, A Felfernig, P Lops, F Ricci, G Semeraro ACM Transactions on Interactive Intelligent Systems (TiiS) 3 (3), 1-7, 2013 | 136 | 2013 |
| Human decision making and recommender systems A Jameson, MC Willemsen, A Felfernig, M De Gemmis, P Lops, ... Recommender systems handbook, 611-648, 2015 | 120 | 2015 |
| 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 | 115 | 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 | 109 | 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 | 105 | 2015 |
| Combining learning and word sense disambiguation for intelligent user profiling G Semeraro, M Degemmis, P Lops, P Basile Proceedings of the 20th international joint conference on Artifical …, 2007 | 99 | 2007 |
| Ontologically-enriched unified user modeling for cross-system personalization B Mehta, C Niederee, A Stewart, M Degemmis, P Lops, G Semeraro User Modeling 2005, 151-151, 2005 | 96 | 2005 |
| 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 |
| A comparison of word-embeddings in emotion detection from text using bilstm, cnn and self-attention M Polignano, P Basile, M de Gemmis, G Semeraro Adjunct publication of the 27th conference on user modeling, adaptation and …, 2019 | 90 | 2019 |
| 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 | 86 | 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 | 83 | 2019 |
| Knowledge infusion into content-based recommender systems G Semeraro, P Lops, P Basile, M de Gemmis Proceedings of the third ACM conference on Recommender systems, 301-304, 2009 | 83 | 2009 |
