Yiming Liao — accepted AI-conference papers

2024

Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms

Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu +1

NeurIPS 2024poster

On User-Generated Content (UGC) platforms, recommendation algorithms significantly impact creators' motivation to produce content as they compete for algorithmically allocated user traffic. This phenomenon subtly shapes the volume and diversity of the content pool, which is crucial for the platform'…

Cited by 4 Source ↗PDF ↗Scholar ↗

2023

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?

Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang +2

NeurIPS 2023poster

The past decade has witnessed the flourishing of a new profession as media content creators, who rely on revenue streams from online content recommendation platforms. The reward mechanism employed by these platforms creates a competitive environment among creators which affects their production choi…

Cited by 16 Source ↗PDF ↗Scholar ↗