2 citations · 4 across the 12 of their papers we have counts for
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cs.IR2024
Epinet for Content Cold Start
Hong Jun Jeon, Songbin Liu, Yuantong Li +5
The exploding popularity of online content and its user base poses an evermore challenging matching problem for modern recommendation systems. Unlike other frontiers of machine lea…
cs.IR2024
Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System
Yuantong Li, Guang Cheng, Xiaowu Dai
Recommender systems play a crucial role in internet economies by connecting users with relevant products. However, designing effective recommender systems faces the key challenges:…
cs.IR2022
Debiasing Neural Retrieval via In-batch Balancing Regularization
Yuantong Li, Xiaokai Wei, Zijian Wang +4
People frequently interact with information retrieval (IR) systems, however, IR models exhibit biases and discrimination towards various demographics. The in-processing fair rankin…