Publications

Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl, Eva Zangerle (2022). Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. Proceedings of the 23rd International Society for Music Information Retrieval Conference 2022 (ISMIR 2022).

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Maximilian Damböck, Richard Vogl, Peter Knees (2022). On the Impact and Interplay of Input Representations and Network Architectures for Automatic Music Tagging. Proceedings of the 23rd International Society for Music Information Retrieval Conference 2022 (ISMIR 2022).

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Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle (2022). Unsupervised Graph Embeddings for Session-based Recommendation with Item Features. CARS - Workshop on Context-Aware Recommender Systems.

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Peter Knees, Andres Ferraro, Moritz Hübler (2022). Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact. 2nd Workshop on Multi-Objective Recommender Systems (MORS@RecSys2022).

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Eva Zangerle, Christine Bauer (2022). Evaluating Recommender Systems: Survey and Framework. ACM Comput. Surv..

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Markus Schedl, Stefan Brandl, Oleg Lesota, Emilia Parada-Cabaleiro, David Penz, Navid Rekabsaz (2022). LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis. ACM SIGIR Conference on Human Information Interaction and Retrieval.

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Damjan Prvulovic, Richard Vogl, and Peter Knees (2022). ReStyle-MusicVAE: Enhancing User Control of Deep Generative Music Models with Expert Labeled Anchors. Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP'22 Adjunct).

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Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl (2022). Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation Dataset. Proceedings of the 31st ACM International Conference on Information & Knowledge Management.

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Emilia Parada-Cabaleiro, Anton Batliner, Markus Schedl (2022). An Exploratory Study on the Acoustic Musical Properties to Decrease Self-Perceived Anxiety. International Journal of Environmental Research and Public Health.

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Peter Knees, Bruce Ferwerda, Andreas Rauber, Sebastian Strumbelj, Annabel Resch, Laurenz Tomandl, Valentin Bauer, Tang Fung Yee, Josip Bobinac, Amila Ceranic, Riad Dizdar (2022). A Reproducibility Study on User-centric MIR Research and Why it is Important. Proceedings of the 23rd International Society for Music Information Retrieval Conference 2022 (ISMIR 2022).

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Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex (2021). My friends also prefer diverse music. Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

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Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex (2021). Predicting Music Relistening Behavior Using the ACT-R Framework. Fifteenth ACM Conference on Recommender Systems.

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Harald Schweiger, Emilia Parada-Cabaleiro, Markus Schedl (2021). Does Track Sequence in User-generated Playlists Matter?. Proceedings of the 22nd International Society for Music Information Retrieval Conference 2021 (ISMIR 2021).

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