I am a physicist turned computer scientist, currently a PhD student at the Multimedia Mining and Search Group of the Johannes Kepler University Linz, Austria.
My (current) fields of research are multimodal learning and recommender systems. I have a PhD in theoretical particle physics.
I love understanding and discussing maths and science. I have a passion for music and books. I enjoy doing sports. I have a thing for languages.
Dr. Marta Moscati
PhD Student
Music4All A+A: A Multimodal Dataset for Music Information Retrieval Tasks
Proceedings of the 22nd IEEE International Conference on Content-based Multimedia Indexing (CBMI 2025), 2025
Audio, Lyrics, Videoclips, Interactions? An Analysis of Uni- and Multi-modal Music Retrieval Systems in Terms of Accuracy and Beyond-accuracy Aspects
Proceedings of the 3rd Music Recommender Systems Workshop (MuRS) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025), Prague, Czech Republic., 2025
Parameter-Efficient Single Collaborative Branch for Recommendation
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025
Single-Branch Network Architectures to Close the Modality Gap in Multimodal Recommendation
ACM Transactions on Recommender Systems, 2025
Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs
Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025
Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network
Transactions of the International Society for Music Information Retrieval, 2025
Multimodal Representation Learning for high-quality Recommendations in Cold-start and Beyond-Accuracy
Proceedings of the 18th ACM Conference on Recommender Systems (RecSys), 2024
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
A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments
Companion of the 32nd ACM International Conference on Multimedia (MM), 2024
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
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
Psychology-informed Information Access Systems Workshop
Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM 2024), 2024
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
Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation
Proceedings of the 17th ACM Conference on Recommender Systems (RecSys), 2023
Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM), 2022
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
CARS Workshop on Context-Aware Recommender Systems (RecSys), 2022
