Christian Ganhör

According to our database, Christian Ganhör authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios.

Christian Ganhör, Marta Moscati, Anna Hausberger, Shah Nawaz, Markus Schedl

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training.

Gustavo Escobedo, Christian Ganhör, Stefan Brandl, Mirjam Augstein, Markus Schedl

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2024

2023

Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation.

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Fritzl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl

Int. J. Multim. Inf. Retr., June, 2023

2022

Unlearning Protected User Attributes in Recommendations with Adversarial Training.

Christian Ganhör, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations.

Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör, Markus Schedl

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

EmoMTB: Emotion-aware Music Tower Blocks.

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022