| Bayesian personalized ranking with multi-channel user feedback B Loni, R Pagano, M Larson, A Hanjalic Proceedings of the 10th ACM conference on recommender systems, 361-364, 2016 | 167 | 2016 |
| 30Music Listening and Playlists Dataset. R Turrin, M Quadrana, A Condorelli, R Pagano, P Cremonesi RecSys Posters 75, 2015 | 77 | 2015 |
| The contextual turn: From context-aware to context-driven recommender systems R Pagano, P Cremonesi, M Larson, B Hidasi, D Tikk, A Karatzoglou, ... Proceedings of the 10th ACM conference on recommender systems, 249-252, 2016 | 65 | 2016 |
| Time-based TV programs prediction R Turrin, A Condorelli, P Cremonesi, R Pagano 1st Workshop on Recommender Systems for Television and Online Video at ACM …, 2014 | 41 | 2014 |
| Recommending without short head P Cremonesi, F Garzotto, R Pagano, M Quadrana Proceedings of the 23rd International Conference on World Wide Web, 245-246, 2014 | 25 | 2014 |
| Top-N recommendation with multi-channel positive feedback using factorization machines B Loni, R Pagano, M Larson, A Hanjalic ACM Transactions on Information Systems (TOIS) 37 (2), 1-23, 2019 | 23 | 2019 |
| Beyond algorithms: Ranking at scale at Booking. com. T Mavridis, S Hausl, A Mende, R Pagano ComplexRec-ImpactRS@ RecSys, 2020 | 18 | 2020 |
| Personalized and context-aware TV program recommendations based on implicit feedback P Cremonesi, P Modica, R Pagano, E Rabosio, L Tanca International Conference on Electronic Commerce and Web Technologies, 57-68, 2015 | 18 | 2015 |
| Multi-stack ensemble for job recommendation T Carpi, M Edemanti, E Kamberoski, E Sacchi, P Cremonesi, R Pagano, ... Proceedings of the Recommender Systems Challenge, 1-4, 2016 | 15 | 2016 |
| Large scale music recommendation R Turrin, A Condorelli, P Cremonesi, R Pagano, M Quadrana Workshop on Large-Scale Recommender Systems (LSRS 2015) at ACM RecSys, 2015 | 13 | 2015 |
| Polarized review summarization as decision making tool P Cremonesi, R Facendola, F Garzotto, M Guarnerio, M Natali, R Pagano Proceedings of the 2014 International Working Conference on Advanced Visual …, 2014 | 11 | 2014 |
| Tv program detection in tweets P Cremonesi, R Pagano, S Pasquali, R Turrin Proceedings of the 11th european conference on Interactive TV and video, 45-54, 2013 | 10 | 2013 |
| Toward active learning in cross-domain recommender systems R Pagano, M Quadrana, M Elahi, P Cremonesi arXiv preprint arXiv:1701.02021, 2017 | 7 | 2017 |
| Social network based short-term stock trading system P Cremonesi, C Francalanci, A Poli, R Pagano, L Mazzoni, A Maggioni, ... arXiv preprint arXiv:1801.05295, 2018 | 5 | 2018 |
| Prediction of tv ratings with dynamic models R Pagano, M Quadrana, P Cremonesi, S Bittanti, S Formwentin, ... ACM Workshop on Recommendation Systems for Television and Online Video, RecSysTV, 2015 | 5 | 2015 |
| Explicit Elimination of Similarity Blocking for Session-based Recommendation M Brusamento, R Pagano, MA Larson, P Cremonesi [Sl]: CEUR, 2016 | 2 | 2016 |
| Context-driven recommender systems R Pagano Politecnico di Milano, 2016 | | 2016 |
| Explicit Elimination of Similarity Blockers for Session-based Recommendation M Brusamento, R Pagano, M Larson, P Cremonesi Workshops at the ACM Conference on Recommender Systems 1688, 1-8, 2016 | | 2016 |
| Decision Making through Polarized Summarization of User Reviews. P Cremonesi, F Garzotto, M Guarnerio, F Gusmeroli, R Pagano DMRS, 37-40, 2015 | | 2015 |
| Integrazione delle informazioni sociali nei sistemi di raccomandazione M RUSSO, R PAGANO Politecnico di Milano, 2011 | | 2011 |
Paolo CremonesiDept. Computer Engineering, Politecnico di MilanoVerified email at polimi.it
