Marta Moscati, Afchar Darius, Markus Schedl, Sguerra Bruno
Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs
Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025
 Best Reviewer Award

Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauss, Marcel Zenter, Eva Zangerle
Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network
Transactions of the International Society for Music Information Retrieval, 2025

Marta Moscati
Multimodal Representation Learning for high-quality Recommendations in Cold-start and Beyond-Accuracy
Proceedings of the 18th ACM Conference on Recommender Systems (RecSys), 2024

Christian Ganhör, Marta Moscati, Anna Hausberger, Shah Nawaz, Markus Schedl
A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios
Proceedings of the 18th ACM Conference on Recommender Systems (RecSys), 2024

Muhammad Saad Saeed, Shah Nawaz, Marta Moscati, Rohan Kumar Das, Muhammad Salman Tahir, Muhammad Zaigham Zaheer, Muhammad Irzam Liaqat, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Markus Schedl
A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments
Companion of the 32nd ACM International Conference on Multimedia (MM), 2024

Gustavo Escobedo, Marta Moscati, Peter Müllner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), 2024

Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl
Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags
Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2024

Marta Moscati, Yashar Deldjoo, Giulio Davide Carparelli, Markus Schedl
Multiobjective Hyperparameter Optimization of Recommender Systems
Proceedings of the 3rd Workshop on Perspectives on the Evaluation of Recommender Systems co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, Singapore., 2023

Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl
Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation
Proceedings of the 17th ACM Conference on Recommender Systems (RecSys), 2023

Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl
Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM), 2022

Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
CARS Workshop on Context-Aware Recommender Systems (RecSys), 2022