17 citations · 33 across the 4 of their papers we have counts for
3 papers · 1 filter
AdaptiveRec: Adaptively Construct Pairs for Contrastive Learning in Sequential Recommendation
Jaeheyoung Jeon, Jung Hyun Ryu, Jewoong Cho +1
This paper presents a solution to the challenges faced by contrastive learning in sequential recommendation systems. In particular, it addresses the issue of false negative, which…
Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation
Jung Hyun Ryu, Jaeheyoung Jeon, Jewoong Cho +1
Along with the exponential growth of online platforms and services, recommendation systems have become essential for identifying relevant items based on user preferences. The domai…
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation
Minchang Kim, Yongjin Yang, Jung Hyun Ryu +1
Sequential recommenders have made great strides in capturing a user's preferences. Nevertheless, the cold-start recommendation remains a fundamental challenge as they typically inv…