Debiasing Implicit Feedback Recommenders via Sliced Wasserstein Distance-based Regularization
Proceedings of the Nineteenth ACM Conference on Recommender Systems
PhD Student
David Penz, M.Sc.
Johannes Kepler University Linz
Research output
Publications
Mitigating Latent User Biases in Pre-trained VAE Recommendation Models via On-demand Input Space Transformation
Proceedings of the Nineteenth ACM Conference on Recommender Systems
Emotion-aware Music Tower Blocks (EmoMTB): An Intelligent Audiovisual Interface for Music Discovery and Recommendation
International Journal of Multimedia Information Retrieval (IJMIR)
EmoMTB: Emotion-aware Music Tower Blocks
Proceedings of the 2022 ACM International Conference on Multimedia Retrieval (ICMR)
Unlearning Protected User Attributes in Recommendations with Adversarial Training
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval