46 citations · 54 across the 7 of their papers we have counts for
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cs.HC2022
A Labeling Task Design for Supporting Algorithmic Needs: Facilitating Worker Diversity and Reducing AI Bias
Jaeyoun You, Daemin Park, Joo-yeong Song +1
Studies on supervised machine learning (ML) recommend involving workers from various backgrounds in training dataset labeling to reduce algorithmic bias. Moreover, sophisticated ta…
cs.IR2022★ 5 cited
Data Augmentation Strategies for Improving Sequential Recommender Systems
Joo-yeong Song, Bongwon Suh
Sequential recommender systems have recently achieved significant performance improvements with the exploitation of deep learning (DL) based methods. However, although various DL-b…