Marta Moscati
💻 📚 🎸
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.
selected publications
-
Parameter-Efficient Single Collaborative Branch for RecommendationIn Proceedings of the 19th ACM Conference on Recommender Systems, 2025 -
Audio, Lyrics, Videoclips, Interactions? An Analysis of Uni- and Multi-Modal Music Retrieval Systems in Terms of Accuracy and Beyond-Accuracy AspectsIn Proc. of the Workshop on Music Recommender Systems (MuRS) co-located with the ACM Conference on Recommender Systems (RecSys), 2025 -
Familiarizing with Music: Discovery Patterns for Different Music Discovery NeedsIn Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, Jun 2025 -
A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality ScenariosIn Proceedings of the 18th ACM Conference on Recommender Systems (RecSys), Jun 2024 -
Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated TagsIn Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP), Jun 2024 -
Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music RecommendationIn Proc. of ACM RecSys, Jun 2023 -
Multiobjective Hyperparameter Optimization of Recommender SystemsIn Proc. of Perspectives – ACM RecSys, Jun 2023 -
Music4All-Onion – A Large-Scale Multi-Faceted Content-Centric Music Recommendation DatasetIn Proc. of CIKM, Jun 2022