Stefan Brandl

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

Alessandro B. Melchiorre, M. Schedl, E. Lex, 2022, MORS@RecSys.

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

M. Schedl, Navid Rekabsaz, Emilia Parada-Cabaleiro, 2022, CHIIR.

Investigating gender fairness of recommendation algorithms in the music domain

Markus Schedl, Navid Rekabsaz, Alessandro B. Melchiorre, 2021, Inf. Process. Manag..

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

Dominik Kowald, Markus Schedl, Elisabeth Lex, 2021, RecSys.

Dynamic extensible query processing in super-peer based P2P systems

Alfons Kemper, Christian Wiesner, Stefan Brandl, 2004, Proceedings. 20th International Conference on Data Engineering.

INTERACTIVELY EXPLORING SIMILARITIES BETWEEN MUSIC GENRES BASED ON USER-GENERATED TAGS

Stefan Brandl, 2021 .

Song lyrics have become simpler and more repetitive over the last five decades

Eva Zangerle, Emilia Parada-Cabaleiro, Maximilian Mayerl, 2024, Scientific reports.