Stefan Brandl

According to our database, Stefan Brandl authored at least 9 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

The Importance of Cognitive Biases in the Recommendation Ecosystem.

Markus Schedl, Oleg Lesota, Stefan Brandl, Mohammad Lotfi, Gustavo Junior Escobedo Ticona, Shahed Masoudian

CoRR, 2024

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

Gustavo Escobedo, Christian Ganhör, Stefan Brandl, Mirjam Augstein, Markus Schedl

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2024

2022

Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization.

Oleg Lesota, Stefan Brandl, Matthias Wenzel, Alessandro B. Melchiorre, Elisabeth Lex, Navid Rekabsaz, Markus Schedl

Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition.

Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl, Eva Zangerle

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms.

Oleg Lesota, Emilia Parada-Cabaleiro, Stefan Brandl, Elisabeth Lex, Navid Rekabsaz, Markus Schedl

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis.

Markus Schedl, Stefan Brandl, Oleg Lesota, Emilia Parada-Cabaleiro, David Penz, Navid Rekabsaz

Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

2021

Investigating gender fairness of recommendation algorithms in the music domain.

Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada-Cabaleiro, Stefan Brandl, Oleg Lesota, Markus Schedl

Inf. Process. Manag., 2021

Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?

Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2004

Dynamic Extensible Query Processing in Super-Peer Based P2P Systems.

Christian Wiesner, Alfons Kemper, Stefan Brandl

Proceedings of the 20th International Conference on Data Engineering, 2004