Alessandro B. Melchiorre

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Music Information Retrieval

Matrix Factorization

Top Venues

Inf. Process. Manag.

Publications

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Fritzl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation. Int. J. Multim. Inf. Retr. 12 (1) (2023)
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
Explainability in Music Recommender Systems. AI Mag. 43 (2) (2022)
Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör, Markus Schedl
ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations. RecSys (2022)
Oleg Lesota, Stefan Brandl, Matthias Wenzel, Alessandro B. Melchiorre, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization. MORS@RecSys (2022)
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
Explainability in Music Recommender Systems. CoRR (2022)
Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
EmoMTB: Emotion-aware Music Tower Blocks. ICMR (2022)
Alessandro B. Melchiorre, Verena Haunschmid, Markus Schedl, Gerhard Widmer
LEMONS: Listenable Explanations for Music recOmmeNder Systems. ECIR (2) (2021)
Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada-Cabaleiro, Stefan Brandl, Oleg Lesota, Markus Schedl
Investigating gender fairness of recommendation algorithms in the music domain. Inf. Process. Manag. 58 (5) (2021)
Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? CoRR (2021)
Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? RecSys (2021)
Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl
Personality Bias of Music Recommendation Algorithms. RecSys (2020)
Meijun Liu, Eva Zangerle, Xiao Hu, Alessandro B. Melchiorre, Markus Schedl
Pandemics, music, and collective sentiment: evidence from the outbreak of COVID-19. ISMIR (2020)
Alessandro B. Melchiorre, Markus Schedl
Personality Correlates of Music Audio Preferences for Modelling Music Listeners. UMAP (2020)