Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems
Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
PhD Student
Dr. Marta Moscati
Johannes Kepler University Linz
About
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. I am also Applied Scientist (L5) at Albatross AI.
My 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.
Research output
Publications
Calibrating Recommendations on Ordinal Attributes
Proceedings of the 20th ACM Conference on Recommender Systems (RecSys 2026)
Emotion-calibrated Music Recommendation
Proceedings of the 4th Music Recommender Systems Workshop (MuRS) co-located with the 20th ACM Conference on Recommender Systems (RecSys 2026), Minneapolis, Minnesota, US.
Face-Voice Association with Inductive Bias for Maximum Class Separation
Proceedings of the 51st IEEE International Conference on Acoustics, Speech, and Signal Processing
Linking Faces and Voices Across Languages: Insights from the FAME 2026 Challenge
Proceedings of the 51st IEEE International Conference on Acoustics, Speech, and Signal Processing
MuRS 2026: 4th Music Recommender Systems Workshop
Proceedings of the 20th ACM Conference on Recommender Systems (RecSys 2026)
Networked Tastes: Homophily for Music Recommendation
Workshops Proceedings of the 34th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP 2026), Gothenburg, Sweden.
SB-BEVFusion: Enhancing the Robustness against Sensor Malfunction and Corruptions
Proceedings of the IEEE International Conference on Image Processing (ICIP)
SPRIG: Semantic-ID-enhanced Paths for Knowledge Graph-based Generative Recommendation
Proceedings of the 35th ACM International Conference on Information & Knowledge Management (CIKM)
SwapRec: Warming Up Cold Items Through Training-Time Similar-Content Swaps
Proceedings of DaQuaMRec 2026, the 2nd International Workshop on Data Quality-Aware Multimodal Recommendation, co-located with the 20th ACM Conference on Recommender Systems (RecSys 2026), September 28 - October 2, 2026, Minneapolis, Minnesota, USA.
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.
Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs
Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization
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)
Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network
Transactions of the International Society for Music Information Retrieval
Parameter-Efficient Single Collaborative Branch for Recommendation
Proceedings of the Nineteenth ACM Conference on Recommender Systems
Single-Branch Architectures for Recommendation
Proceedings of the DaQuaMRec 2025 Workshop on Data Quality-Aware Multimodal Recommendation co-located with RecSys 2025, Prague, Czech Republic.
Single-Branch Network Architectures to Close the Modality Gap in Multimodal Recommendation
ACM Transactions on Recommender Systems
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)
A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments
Companion of the 32nd ACM International Conference on Multimedia (MM)
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)
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)
Multimodal Representation Learning for high-quality Recommendations in Cold-start and Beyond-Accuracy
Proceedings of the 18th ACM Conference on Recommender Systems (RecSys)
Psychology-informed Information Access Systems Workshop
Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM 2024)
Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation
Proceedings of the 17th ACM Conference on Recommender Systems (RecSys)
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.
Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM)
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
CARS Workshop on Context-Aware Recommender Systems (RecSys)