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What is Country Bias in Music Recommender Systems about?

This study investigates how feedback loops in music recommender systems affect the representation of local and US-produced music in user profiles and recommendations. Using a simulation with the LFM-2b dataset, the results indicate that most recommendation models decrease the proportion of local music, with users from less represented countries being significantly impacted. The findings highlight the need for better calibration in recommendations to address demographic biases in music representation.

Author

bonhysultana4317

Language

EN