3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.IR2024
Towards Unifying Feature Interaction Models for Click-Through Rate Prediction
Yu Kang, Junwei Pan, Jipeng Jin +3
Modeling feature interactions plays a crucial role in accurately predicting click-through rates (CTR) in advertising systems. To capture the intricate patterns of interaction, many…
cs.IR2024★ 3 cited
Pareto-based Multi-Objective Recommender System with Forgetting Curve
Jipeng Jin, Zhaoxiang Zhang, Zhiheng Li +4
Recommender systems with cascading architecture play an increasingly significant role in online recommendation platforms, where the approach to dealing with negative feedback is a…
cs.IR2022★ 2 cited
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach
Chenxiao Yang, Qitian Wu, Jipeng Jin +3
Collaborative filtering (CF), as a standard method for recommendation with implicit feedback, tackles a semi-supervised learning problem where most interaction data are unobserved.…