Publications

2024

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Single-Branch Network Architectures to Close the Modality Gap in Multimodal Recommendation
Christian Ganhör
Master's Thesis, Johannes Kepler University Linz
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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
Proceedings of the 18th ACM Conference on Recommender Systems (RecSys)
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Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training
Gustavo Escobedo, Christian Ganhör, Stefan Brandl, Mirjam Augstein, and Markus Schedl
Proceedings of the 5th International Workshop on Algorithmic Bias in Search and Recommendation (BIAS @ SIGIR 2024)

2023

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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 Bezold Rosner Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, and Markus Schedl
International Journal of Multimedia Information Retrieval (IJMIR)

2022

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ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations
Alessandro B. Melchiorre, Navid Rekab-saz, Christian Ganhör, and Markus Schedl
Proceedings of the 16th ACM Conference on Recommender Systems (RecSys)
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Unlearning Protected User Attributes in Recommendations with Adversarial Training
Christian Ganhör, David Penz, Navid Rekab-saz, Oleg Lesota, and Markus Schedl
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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EmoMTB: Emotion-aware Music Tower Blocks
Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Bezold Rosner Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, and Markus Schedl
Proceedings of the 2022 ACM International Conference on Multimedia Retrieval (ICMR)