| Investigating gender fairness of recommendation algorithms in the music domain AB Melchiorre, N Rekabsaz, E Parada-Cabaleiro, S Brandl, O Lesota, ... Information Processing & Management 58 (5), 102666, 2021 | 143 | 2021 |
| Explainability in Music Recommender Systems D Afchar, AB Melchiorre, M Schedl, R Hennequin, EV Epure, ... AI Magazine 2022, 2022 | 83 | 2022 |
| Analyzing item popularity bias of music recommender systems: are different genders equally affected? O Lesota, A Melchiorre, N Rekabsaz, S Brandl, D Kowald, E Lex, ... Proceedings of the 15th ACM conference on recommender systems, 601-606, 2021 | 70 | 2021 |
| Personality bias of music recommendation algorithms AB Melchiorre, E Zangerle, M Schedl Proceedings of the 14th ACM Conference on Recommender Systems, 533-538, 2020 | 60 | 2020 |
| Personality correlates of music audio preferences for modelling music listeners AB Melchiorre, M Schedl Proceedings of the 28th ACM conference on user modeling, adaptation and …, 2020 | 49 | 2020 |
| Protomf: Prototype-based matrix factorization for effective and explainable recommendations AB Melchiorre, N Rekabsaz, C Ganhör, M Schedl Proceedings of the 16th ACM Conference on Recommender Systems, 246-256, 2022 | 26 | 2022 |
| Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization. O Lesota, S Brandl, M Wenzel, AB Melchiorre, E Lex, N Rekabsaz, ... MORS@ RecSys, 2022 | 16 | 2022 |
| Lemons: Listenable explanations for music recommender systems AB Melchiorre, V Haunschmid, M Schedl, G Widmer Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | 13 | 2021 |
| Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation AB Melchiorre, D Penz, C Ganhör, O Lesota, V Fragoso, F Fritzl, ... International Journal of Multimedia Information Retrieval 12 (1), 13, 2023 | 10 | 2023 |
| Pandemics, music, and collective sentiment: Evidence from the outbreak of COVID-19 MJ Liu, E Zangerle, X Hu, A Melchiorre, M Schedl Proceedings of the 21st International Society for Music Information …, 2020 | 8 | 2020 |
| Explainability in music recommender systems (2022) D Afchar, AB Melchiorre, M Schedl, R Hennequin, EV Epure, ... arXiv preprint arXiv:2201.10528, 0 | 6 | |
| EmoMTB: Emotion-aware music tower blocks AB Melchiorre, D Penz, C Ganhör, O Lesota, V Fragoso, F Friztl, ... Proceedings of the 2022 International Conference on Multimedia Retrieval …, 2022 | 3 | 2022 |
| Modular Debiasing of Latent User Representations in Prototype-Based Recommender Systems AB Melchiorre, S Masoudian, D Kumar, M Schedl Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 1 | 2024 |
| Constraint-Aware Query Processing for Geo-Distributed Data AB Melchiorre Doctoral dissertation, TU Berlin, 2019 | 1 | 2019 |
| Explainable and Fair Music Recommender Systems/Author Alessandro B. Melchiorre AB Melchiorre | | 2024 |
Markus SchedlProfessor at Johannes Kepler University Linz, Institute of Computational PerceptionBestätigte E-Mail-Adresse bei jku.at
