| 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 | 10 | 2019 |
| A novel graph-based model for hybrid recommendations in cold-start scenarios C Bernardis, MF Dacrema, P Cremonesi arXiv preprint arXiv:1808.10664, 2018 | 10 | 2018 |
| 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 | 8 | 2020 |
| 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 | 7 | 2019 |
| NFC: A deep and hybrid item-based model for item cold-start recommendation C Bernardis, P Cremonesi User Modeling and User-Adapted Interaction 32 (4), 747-780, 2022 | 4 | 2022 |
| On the instability of embeddings for recommender systems: the case of matrix factorization G Gabbolini, E D'Amico, C Bernardis, P Cremonesi Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1363-1370, 2021 | 3 | 2021 |
| Multi-stage Ensemble Model for Cross-market Recommendation C Bernardis arXiv preprint arXiv:2202.08824, 2022 | 1 | 2022 |
| Lightweight Model for Session-Based Recommender Systems with Seasonality Information in the Fashion Domain N Della Volpe, L Mainetti, A Martignetti, A Menta, R Pala, G Polvanesi, ... Proceedings of the Recommender Systems Challenge 2022, 18-23, 2022 | | 2022 |
| On the impact of data sampling on hyper-parameter optimisation of recommendation algorithms M Montanari, C Bernardis, P Cremonesi Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 1399-1402, 2022 | | 2022 |
| Analyzing and improving stability of matrix factorization for recommender systems E D’Amico, G Gabbolini, C Bernardis, P Cremonesi Journal of Intelligent Information Systems 58 (2), 255-285, 2022 | | 2022 |
| From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain C Bernardis, MF Dacrema, FBP Maurera, M Quadrana, M Scriminaci, ... IEEE Access 10, 14779-14796, 2022 | | 2022 |
| Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment L Carminati, G Lodigiani, P Maldini, S Meta, S Metaj, A Pisa, A Sanvito, ... RecSysChallenge'21: Proceedings of the Recommender Systems Challenge 2021, 28-33, 2021 | | 2021 |
| Eigenvalue Perturbation for Item-based Recommender Systems C Bernardis, P Cremonesi Fifteenth ACM Conference on Recommender Systems, 656-660, 2021 | | 2021 |
Maurizio Ferrari DacremaPostdoctoral researcher, DEIB, Politecnico di MilanoEmail verificata su polimi.it
