35 citations · 35 across the 3 of their papers we have counts for
3 papers
cs.IR2023
TempGNN: Temporal Graph Neural Networks for Dynamic Session-Based Recommendations
Eunkyu Oh, Taehun Kim
Session-based recommendations which predict the next action by understanding a user's interaction behavior with items within a relatively short ongoing session have recently gained…
cs.IR2022
SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning
Eunkyu Oh, Taehun Kim, Minsoo Kim +2
Session-based recommendations aim to predict the next behavior of users based on ongoing sessions. The previous works have been modeling the session as a variable-length of a seque…
cs.LG2022★ 35 cited
STING: Self-attention based Time-series Imputation Networks using GAN
Eunkyu Oh, Taehun Kim, Yunhu Ji +1
Time series data are ubiquitous in real-world applications. However, one of the most common problems is that the time series data could have missing values by the inherent nature o…