Alessandro B. Melchiorre

18 papers A 6B 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — ed.
Proceedings of the DaQuaMRec 2025 Workshop on Data Quality-Aware Multimodal Recommendation co-located with RecSys 2025, Prague, Czech Republic, September 22, 2025.
DaQuaMRec@RecSys
Claudio Pomo, Dietmar Jannach, Yubin Kim, Daniele Malitesta, Alberto Carlo Maria Mancino, Julian J. McAuley, Alessandro B. Melchiorre, Shah Nawaz
2025 A conf
First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec).
RecSys
Claudio Pomo, Dietmar Jannach, Yubin Kim, Daniele Malitesta, Alberto Carlo Maria Mancino, Julian J. McAuley, Alessandro B. Melchiorre, Shah Nawaz
2025 A conf
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation.
RecSys
Alessandro B. Melchiorre, Elena V. Epure, Shahed Masoudian, Gustavo Escobedo, Anna Hausberger, Manuel Moussallam, Markus Schedl
2025 J jnl
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation.
CoRR
Alessandro B. Melchiorre, Elena V. Epure, Shahed Masoudian, Gustavo Escobedo, Anna Hausberger, Manuel Moussallam, Markus Schedl
2024 — conf
Modular Debiasing of Latent User Representations in Prototype-Based Recommender Systems.
ECML/PKDD (1)
Alessandro B. Melchiorre, Shahed Masoudian, Deepak Kumar, Markus Schedl
2023 J jnl
Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation.
Int. J. Multim. Inf. Retr.
Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Fritzl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
2022 B conf
EmoMTB: Emotion-aware Music Tower Blocks.
ICMR
Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
2022 J jnl
Explainability in Music Recommender Systems.
AI Mag.
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
2022 J jnl
Explainability in Music Recommender Systems.
CoRR
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
2022 — conf
Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization.
MORS@RecSys
Oleg Lesota, Stefan Brandl, Matthias Wenzel, Alessandro B. Melchiorre, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2022 A conf
ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations.
RecSys
Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör, Markus Schedl
2021 A conf
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
RecSys
Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021 J jnl
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
CoRR
Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021 J jnl
Investigating gender fairness of recommendation algorithms in the music domain.
Inf. Process. Manag.
Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada-Cabaleiro, Stefan Brandl, Oleg Lesota, Markus Schedl
2021 — conf
LEMONS: Listenable Explanations for Music recOmmeNder Systems.
ECIR (2)
Alessandro B. Melchiorre, Verena Haunschmid, Markus Schedl, Gerhard Widmer
2020 — conf
Pandemics, music, and collective sentiment: evidence from the outbreak of COVID-19.
ISMIR
Meijun Liu, Eva Zangerle, Xiao Hu, Alessandro B. Melchiorre, Markus Schedl
2020 A conf
Personality Bias of Music Recommendation Algorithms.
RecSys
Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl
2020 A conf
Personality Correlates of Music Audio Preferences for Modelling Music Listeners.
UMAP
Alessandro B. Melchiorre, Markus Schedl