Alessandro B. Melchiorre

According to our database, Alessandro B. Melchiorre authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Modular Debiasing of Latent User Representations in Prototype-Based Recommender Systems.

Alessandro B. Melchiorre, Shahed Masoudian, Deepak Kumar, Markus Schedl

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation.

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Fritzl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl

Int. J. Multim. Inf. Retr., June, 2023

2022

Explainability in Music Recommender Systems.

Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam

AI Mag., 2022

ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations.

Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör, Markus Schedl

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization.

Oleg Lesota, Stefan Brandl, Matthias Wenzel, Alessandro B. Melchiorre, Elisabeth Lex, Navid Rekabsaz, Markus Schedl

Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

EmoMTB: Emotion-aware Music Tower Blocks.

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

2021

Investigating gender fairness of recommendation algorithms in the music domain.

Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada-Cabaleiro, Stefan Brandl, Oleg Lesota, Markus Schedl

Inf. Process. Manag., 2021

Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?

Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

LEMONS: Listenable Explanations for Music recOmmeNder Systems.

Alessandro B. Melchiorre, Verena Haunschmid, Markus Schedl, Gerhard Widmer

Proceedings of the Advances in Information Retrieval, 2021

2020

Personality Correlates of Music Audio Preferences for Modelling Music Listeners.

Alessandro B. Melchiorre, Markus Schedl

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Personality Bias of Music Recommendation Algorithms.

Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Pandemics, music, and collective sentiment: evidence from the outbreak of COVID-19.

Meijun Liu, Eva Zangerle, Xiao Hu, Alessandro B. Melchiorre, Markus Schedl

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020