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Works (6)

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

2025 | Book chapter
Contributors: Gustavo Escobedo; Christian Ganhör; Stefan Brandl; Mirjam Augstein; Markus Schedl
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A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios

2024-10-08 | Conference paper
Contributors: Christian Ganhör; Marta Moscati; Anna Hausberger; Shah Nawaz; Markus Schedl
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Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation

International Journal of Multimedia Information Retrieval
2023-06 | Journal article
Contributors: Alessandro B. Melchiorre; David Penz; Christian Ganhör; Oleg Lesota; Vasco Fragoso; Florian Fritzl; Emilia Parada-Cabaleiro; Franz Schubert; Markus Schedl
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ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations

Proceedings of the 16th ACM Conference on Recommender Systems
2022-09-18 | Conference paper
Contributors: Alessandro B. Melchiorre; Navid Rekabsaz; Christian Ganhör; Markus Schedl
Source: Self-asserted source
Christian Ganhör

Unlearning Protected User Attributes in Recommendations with Adversarial Training

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
2022-07-06 | Conference paper
Contributors: Christian Ganhör; David Penz; Navid Rekabsaz; Oleg Lesota; Markus Schedl
Source: Self-asserted source
Christian Ganhör

EmoMTB: Emotion-aware Music Tower Blocks

Proceedings of the 2022 International Conference on Multimedia Retrieval
2022-06-27 | Conference paper
Contributors: Alessandro B. Melchiorre; David Penz; Christian Ganhör; Oleg Lesota; Vasco Fragoso; Florian Friztl; Emilia Parada-Cabaleiro; Franz Schubert; Markus Schedl
Source: Self-asserted source
Christian Ganhör