Content-based recommender systems: State of the art and trends P Lops, M De Gemmis, G Semeraro Recommender Systems Handbook, 73-105, 2011 | 2876 | 2011 |
A comparative analysis of methods for pruning decision trees F Esposito, D Malerba, G Semeraro IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (5), 476-491, 1997 | 821 | 1997 |
Semantics-aware content-based recommender systems M de Gemmis, P Lops, C Musto, F Narducci, G Semeraro Recommender Systems Handbook, 2nd edition, 119-159, 2015 | 323 | 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 CLiC-it, 2019 | 273 | 2019 |
Introducing serendipity in a content-based recommender system L Iaquinta, M de Gemmis, P Lops, G Semeraro, M Filannino, P Molino Hybrid Intelligent Systems, 2008. HIS'08. Eighth International Conference on …, 2008 | 260 | 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, 217-255, 2007 | 255 | 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 | 209 | 2008 |
An Enhanced Lesk Word Sense Disambiguation Algorithm through a Distributional Semantic Model P Basile, A Caputo, G Semeraro COLING 2014, 25th International Conference on Computational Linguistics …, 2014 | 197 | 2014 |
A comparison of Lexicon-based approaches for Sentiment Analysis of microblog posts C Musto, G Semeraro, M Polignano DART 2014: Information Filtering and Retrieval, 59-68, 2014 | 171 | 2014 |
Centroid-based text summarization through compositionality of word embeddings G Rossiello, P Basile, G Semeraro Proceedings of the multiling 2017 workshop on summarization and summary …, 2017 | 164 | 2017 |
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 | 151 | 2015 |
Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems C Musto, G Semeraro, M de Gemmis, P Lops Advances in Information Retrieval, Proceedings of ECIR 2016, 729-734, 2016 | 141 | 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 | 130 | 2013 |
Preference learning in recommender systems M de Gemmis, L Iaquinta, P Lops, C Musto, F Narducci, G Semeraro PREFERENCE LEARNING, 41-55, 2009 | 115 | 2009 |
Multistrategy learning for document recognition F Esposito, D Malerba, G Semeraro Applied Artificial Intelligence: an International Journal 8 (1), 33-84, 1994 | 115 | 1994 |
Human decision making and recommender systems A Jameson, MC Willemsen, A Felfernig, M de Gemmis, P Lops, ... Recommender Systems Handbook, 2nd edition, 611-648, 2015 | 114 | 2015 |
Multistrategy Theory Revision: Induction and Abduction in INTHELEX F Esposito, G Semeraro, N Fanizzi, S Ferilli Machine Learning 38 (1-2), 133-156, 2000 | 111 | 2000 |
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 | 103 | 2017 |
Combining learning and word sense disambiguation for intelligent user profiling G Semeraro, M Degemmis, P Lops, P Basile IJCAI - Proceedings of the 20th International Joint Conference on Artifical …, 2007 | 98 | 2007 |
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 | 97 | 2015 |