| 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 |
| 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 | 6 | 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 | 6 | 2021 |
| An interpretable music similarity measure based on path interestingness G Gabbolini, D Bridge Proc. of the 22nd Int. Society for Music Information Retrieval Conf. (ISMIR), 2021 | 5 | 2021 |
| Data-efficient playlist captioning with musical and linguistic knowledge G Gabbolini, R Hennequin, E Epure Association for Computational Linguistics, 2022 | 3 | 2022 |
| Generating interesting song-to-song segues with Dave G Gabbolini, D Bridge Proceedings of the 29th ACM Conference on User Modeling, Adaptation and …, 2021 | 3 | 2021 |
| A user-centered investigation of personal music tours G Gabbolini, D Bridge Proceedings of the 16th ACM Conference on Recommender Systems, 25-34, 2022 | 1 | 2022 |
| Play it again, Sam! Recommending familiar music in fresh ways G Gabbolini, D Bridge Proceedings of the 15th ACM Conference on Recommender Systems, 697-701, 2021 | 1 | 2021 |
| Predicting the Listening Contexts of Music Playlists Using Knowledge Graphs G Gabbolini, D Bridge European Conference on Information Retrieval, 330-345, 2023 | | 2023 |
| Intelligibility of music playlists G Gabbolini University College Cork, 2023 | | 2023 |
Cesare BernardisOracle LabsVerified email at oracle.com
