Marta Moscati

💻 📚 🎸

prof_pic.jpg

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

  1. 2025_09_cobrar.png
    Parameter-Efficient Single Collaborative Branch for Recommendation
    Marta Moscati, Shah Nawaz, and Markus Schedl
    In Proceedings of the 19th ACM Conference on Recommender Systems, 2025
  2. 2025_09_murs.png
    Audio, Lyrics, Videoclips, Interactions? An Analysis of Uni- and Multi-Modal Music Retrieval Systems in Terms of Accuracy and Beyond-Accuracy Aspects
    Marta Moscati, Gustavo Escobedo, Eduardo Hernandez, Jonas Peché, and Markus Schedl
    In Proc. of the Workshop on Music Recommender Systems (MuRS) co-located with the ACM Conference on Recommender Systems (RecSys), 2025
  3. 2025_06_UMAP_discoveryPattern.png
    Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs
    Marta Moscati, Afchar Darius, Markus Schedl, and Sguerra Bruno
    In Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, Jun 2025
  4. 2024_SiBraR.png
    A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios
    Christian Ganhör*, Marta Moscati*, Anna Hausberger, Shah Nawaz, and Markus Schedl
    In Proceedings of the 18th ACM Conference on Recommender Systems (RecSys), Jun 2024
  5. 2024_EmoMRS.png
    Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags
    Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, and Markus Schedl
    In Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP), Jun 2024
  6. 2023_ACT-R.png
    Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation
    Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, and Markus Schedl
    In Proc. of ACM RecSys, Jun 2023
  7. 2023_PerspectivesRecSys_MultiObjectiveHyperOpt.png
    Multiobjective Hyperparameter Optimization of Recommender Systems
    Marta Moscati, Yashar Deldjoo, Giulio Davide Carparelli, and Markus Schedl
    In Proc. of Perspectives – ACM RecSys, Jun 2023
  8. 2022_cikm_onion.png
    Music4All-Onion – A Large-Scale Multi-Faceted Content-Centric Music Recommendation Dataset
    Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, and Markus Schedl
    In Proc. of CIKM, Jun 2022