9 citations · 19 across the 3 of their papers we have counts for
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cs.IR2023★ 9 cited
Test Time Embedding Normalization for Popularity Bias Mitigation
Dain Kim, Jinhyeok Park, Dongwoo Kim
Popularity bias is a widespread problem in the field of recommender systems, where popular items tend to dominate recommendation results. In this work, we propose 'Test Time Embedd…
cs.IR2022★ 1 cited
Item-based Variational Auto-encoder for Fair Music Recommendation
Jinhyeok Park, Dain Kim, Dongwoo Kim
We present our solution for the EvalRS DataChallenge. The EvalRS DataChallenge aims to build a more realistic recommender system considering accuracy, fairness, and diversity in ev…