I am a Ph.D. student at the Institute of Computational Perception and at the Multimedia Mining and Search Group at the Johannes Kepler University Linz, Austria.

I studied Engineering in Computer Science in my Bachelor at Università degli Studi di Napoli Federico II and in my Master at Sapienza - Università di Roma where I both graduated with full marks.

My main interests revolve around the topics of recommender system algorithms, explainability in AI, and bias & fairness. I am particularly enthusiastic about developing interpretable models and explainability methods for recommender systems, especially in the music domain. I am also interested in investigating the relationships between users’ characteristics and music preference and consumption.

Alessandro B. Melchiorre, opens an external URL in a new window, David Penz, opens an external URL in a new window, Christian Ganhör, opens an external URL in a new window, Oleg Lesota, opens an external URL in a new window, Vasco Bezold Rosner Fragoso, opens an external URL in a new window, Florian Friztl, Emilia Parada-Cabaleiro, opens an external URL in a new window, Franz Schubert, Markus Schedl, opens an external URL in a new window
Emotion-aware Music Tower Blocks (EmoMTB): An Intelligent Audiovisual Interface for Music Discovery and Recommendation, opens an external URL in a new window
International Journal of Multimedia Information Retrieval (IJMIR) To Appear, 2023

Alessandro B. Melchiorre, opens an external URL in a new window, Navid Rekab-saz, opens an external URL in a new window, Christian Ganhör, opens an external URL in a new window, Markus Schedl, opens an external URL in a new window
ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations, opens an external URL in a new window
Proceedings of the 16th ACM Conference on Recommender Systems (RecSys), 

Alessandro B. Melchiorre, opens an external URL in a new window, David Penz, opens an external URL in a new window, Christian Ganhör, opens an external URL in a new window, Oleg Lesota, opens an external URL in a new window, Vasco Bezold Rosner Fragoso, opens an external URL in a new window, Florian Friztl, Emilia Parada-Cabaleiro, opens an external URL in a new window, Franz Schubert, Markus Schedl, opens an external URL in a new window
EmoMTB: Emotion-aware Music Tower Blocks, opens an external URL in a new window
Proceedings of the 2022 ACM International Conference on Multimedia Retrieval (ICMR), 2022

Darius Afchar, Alessandro B. Melchiorre, opens an external URL in a new window, Markus Schedl, opens an external URL in a new window, Romain Hennequin, Elena V. Epure, Manuel Moussallam
Explainability in music recommender systems, opens an external URL in a new window
AI Magazine, 2022

Alessandro B. Melchiorre, opens an external URL in a new window, Navid Rekab-saz, opens an external URL in a new window, Emilia Parada-Cabaleiro, opens an external URL in a new window, Stefan Brandl, opens an external URL in a new window, Oleg Lesota, opens an external URL in a new window, Markus Schedl, opens an external URL in a new window
Investigating Gender Fairness of Recommendation Algorithms in the Music Domain, opens an external URL in a new window
Information Processing & Management, 2021

Oleg Lesota, opens an external URL in a new window, Alessandro B. Melchiorre, opens an external URL in a new window, Navid Rekab-saz, opens an external URL in a new window, Stefan Brandl, opens an external URL in a new window, Dominik Kowald, Elisabeth Lex, Markus Schedl, opens an external URL in a new window
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?, opens an external URL in a new window
Proceedings of the 15th ACM Conference on Recommender Systems (RecSys), 2021

Alessandro B. Melchiorre, opens an external URL in a new window, Verena Haunschmid, Markus Schedl, opens an external URL in a new window, Gerhard Widmer
LEMONS: Listenable Explanations for Music recOmmeNder Systems, opens an external URL in a new window
Proceedings of the 43rd European Conference on Information Retrieval (ECIR), 2021

Alessandro B. Melchiorre, opens an external URL in a new window, Markus Schedl, opens an external URL in a new window
Personality Correlates of Music Audio Preferences for Modelling Music Listeners, opens an external URL in a new window
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2020

Alessandro B. Melchiorre, opens an external URL in a new window, Eva Zangerle, Markus Schedl, opens an external URL in a new window
Personality Bias of Music Recommendation Algorithms, opens an external URL in a new window
Proceedings of the 14th ACM Conference on Recommender Systems (RecSys), 2020