Dr. Marta Moscati
PhD Student
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
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