Analyzing item popularity bias of music recommender systems: Are different genders equally affected?

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Fingerprint

Dive into the research topics of 'Analyzing item popularity bias of music recommender systems: Are different genders equally affected?'. Together they form a unique fingerprint.

Computer Science