2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.IR2022★ 2 cited
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion
Shiqi Wang, Chongming Gao, Min Gao +3
With the increasingly fierce market competition, offering a free trial has become a potent stimuli strategy to promote products and attract users. By providing users with opportuni…
cs.LG2021
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack
Fan Wu, Min Gao, Junliang Yu +3
To explore the robustness of recommender systems, researchers have proposed various shilling attack models and analyzed their adverse effects. Primitive attacks are highly feasible…
cs.IR2020★ 2 cited
Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling
Junwei Zhang, Min Gao, Junliang Yu +3
Heterogeneous Information Network (HIN) is a natural and general representation of data in recommender systems. Combining HIN and recommender systems can not only help model user b…