| Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches M Ferrari Dacrema, P Cremonesi, D Jannach Proceedings of the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019 | 742 | 2019 |
| A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research M Ferrari Dacrema, S Boglio, P Cremonesi, D Jannach ACM Transactions on Information Systems, 2021 | 231 | 2021 |
| Movie Genome: Alleviating New Item Cold Start in Movie Recommendation Y Deldjoo, M Ferrari Dacrema, M Gabriel Constantin, H Eghbal-Zadeh, ... User Modeling and User-Adapted Interaction (UMUAI), 2019 | 115 | 2019 |
| Feature Selection for Recommender Systems with Quantum Computing R Nembrini, M Ferrari Dacrema, P Cremonesi Entropy 23 (8), 970, 2021 | 47 | 2021 |
| Evaluating the job shop scheduling problem on a D-wave quantum annealer C Carugno, M Ferrari Dacrema, P Cremonesi Nature Scientific Reports 12 (1), 2022 | 41 | 2022 |
| Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers M Ferrari Dacrema, F Moroni, R Nembrini, N Ferro, G Faggioli, ... Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 36 | 2022 |
| Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario S Antenucci, S Boglio, E Chioso, E Dervishaj, S Kang, T Scarlatti, ... Proceedings of the ACM Recommender Systems Challenge 2018, 4, 2018 | 31 | 2018 |
| ContentWise Impressions: An industrial dataset with impressions included FB Pérez Maurera, M Ferrari Dacrema, L Saule, M Scriminaci, ... Proceedings of the 29th ACM International Conference on Information and …, 2020 | 30 | 2020 |
| Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems M Ferrari Dacrema, F Parroni, P Cremonesi, D Jannach Proceedings of the 29th ACM International Conference on Information and …, 2020 | 23 | 2020 |
| Optimizing the Selection of Recommendation Carousels with Quantum Computing M Ferrari Dacrema, N Felicioni, P Cremonesi Fifteenth ACM Conference on Recommender Systems (RecSys ’21), 2021 | 22 | 2021 |
| A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels N Felicioni, M Ferrari Dacrema, P Cremonesi Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation …, 2021 | 20 | 2021 |
| Feature Selection for Classification with QAOA G Turati, MF Dacrema, P Cremonesi 2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022 | 16 | 2022 |
| Towards the Evaluation of Recommender Systems with Impressions FB Perez Maurera, M Ferrari Dacrema, P Cremonesi Proceedings of the 16th ACM Conference on Recommender Systems, 610-615, 2022 | 14 | 2022 |
| Estimating Confidence of Individual User Predictions in Item-based Recommender Systems C Bernardis, M Ferrari Dacrema, P Cremonesi Proceedings of the 27th ACM Conference on User Modeling, Adaptation and …, 2019 | 14 | 2019 |
| Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction N Felicioni, A Donati, L Conterio, L Bartoccioni, DYX Hu, C Bernardis, ... Proceedings of the Recommender Systems Challenge 2020, 29-33, 2020 | 13 | 2020 |
| Methodological Issues in Recommender Systems Research M Ferrari Dacrema, P Cremonesi, D Jannach Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 13* | 2020 |
| Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels M Ferrari Dacrema, N Felicioni, P Cremonesi Frontiers in Big Data 5, 1-21, 2022 | 12* | 2022 |
| Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank E D'Amico, G Gabbolini, D Montesi, M Moreschini, F Parroni, F Piccinini, ... Proceedings of the Workshop on ACM Recommender Systems Challenge, 1-5, 2019 | 12 | 2019 |
| qCLEF: a Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systems A Pasin, M Ferrari Dacrema, P Cremonesi, N Ferro | 11 | 2023 |
| A novel graph-based model for hybrid recommendations in cold-start scenarios C Bernardis, M Ferrari Dacrema, P Cremonesi Proceedings of the Late-Breaking Results track part of the Twelfth ACM …, 2018 | 11 | 2018 |
Paolo CremonesiDept. Computer Engineering, Politecnico di MilanoVerified email at polimi.it
