Publications

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 (UMAP22 Adjunct).

Cite DOI

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. Proceedings of the 7th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2022).

Cite

Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex (2021). Predicting Music Relistening Behavior Using the ACT-R Framework. Proceedings of ACM RecSys 2021 Late-Breaking Results co-located with the 15th ACM Conference on Recommender Systems, RecSys 2021.

Cite

Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex (2021). My Friends Also Prefer Diverse Music: Homophily and Link Prediction With User Preferences for Mainstream, Novelty, and Diversity in Music. Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2021): 12th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2021).

Cite

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).

Cite