Publications

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).

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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. Proceedings of ACM RecSys 2021 Late-Breaking Results co-located with the 15th ACM Conference on Recommender Systems, RecSys 2021.

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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).

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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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