1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.IR2024
Price-guided user attention in large-scale E-commerce group recommendation
Yang Shi, Young-joo Chung
Existing group recommender systems utilize attention mechanisms to identify critical users who influence group decisions the most. We analyzed user attention scores from a widely-u…
cs.IR2022★ 1 cited
One-class Recommendation Systems with the Hinge Pairwise Distance Loss and Orthogonal Representations
Ramin Raziperchikolaei, Young-joo Chung
In one-class recommendation systems, the goal is to learn a model from a small set of interacted users and items and then identify the positively-related user-item pairs among a la…
cs.IR2022★ 1 cited
Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation
Shion Ishikawa, Young-joo Chung, Yu Hirate
Recently online advertisers utilize Recommender systems (RSs) for display advertising to improve users' engagement. The contextual bandit model is a widely used RS to exploit and e…