Paper-Conference

Mosaikbox: Improving Fully Automatic DJ Mixing Through Rule-based Stem Modification And Precise Beat-Grid Estimation
Robert Sowula, Peter Knees
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MuRS 2024: 2nd Music Recommender Systems Workshop
Music recommendation has been relevant to the Recommender Systems (RecSys) community since the early days. With the growth of music …
Andres Ferraro, Lorenzo Porcaro, Peter Knees, Christine Bauer
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Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems
Oleg Lesota, Jonas Geiger, Max Walder, Dominik Kowald, Markus Schedl
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Psychology-informed Information Access Systems Workshop
Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex
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Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES)
Alan Said, Christine Bauer, Eva Zangerle
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Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
Markus Frohmann, Igor Sterner, Ivan Vulić, Benjamin Minixhofer, Markus Schedl
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The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
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The Importance of Cognitive Biases in the Recommendation Ecosystem: Evidence of Feature-Positive Effect, Ikea Effect, and Cultural Homophily
Markus Schedl, Oleg Lesota, Shahed Masoudian
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Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives
Markus Schedl, Vito Walter Anelli, Elisabeth Lex
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Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl
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