Investigating gender fairness of recommendation algorithms in the music domain
Top Cited Papers
Open Access
- 1 September 2021
- journal article
- research article
- Published by Elsevier in Information Processing & Management
- Vol. 58 (5)
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist ContinuationACM Transactions on Intelligent Systems and Technology, 2019
- Deep Learning in Music Recommendation SystemsFrontiers in Applied Mathematics and Statistics, 2019
- Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career AdsManagement Science, 2019
- Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systemsPLOS ONE, 2019
- The future of sex and gender in psychology: Five challenges to the gender binary.American Psychologist, 2019
- Calibrated recommendations2018
- Bias on the webCommunications of the ACM, 2018
- Hybrid recommender systems: A systematic literature reviewIntelligent Data Analysis: An International Journal, 2017
- Investigating country-specific music preferences and music recommendation algorithms with the LFM-1b datasetInternational Journal of Multimedia Information Retrieval, 2017
- Combining probability from independent tests: the weighted Z‐method is superior to Fisher's approachJournal of Evolutionary Biology, 2005