Jae Boum Kim

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Recommender Systems

Top Venues

Publications

Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. WWW (2024)
Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. CoRR (2024)
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CIKM (2023)
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
Attention Calibration for Transformer-based Sequential Recommendation. CIKM (2023)
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
Attention Calibration for Transformer-based Sequential Recommendation. CoRR (2023)
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys (2023)
Juyong Jiang, Jae Boum Kim, Yingtao Luo, Kai Zhang, Sunghun Kim
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CoRR (2022)
Juyong Jiang, Yingtao Luo, Jae Boum Kim, Kai Zhang, Sunghun Kim
Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer. CoRR (2021)