10 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.IR2020★ 2 cited
Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective
Yifei Zhao, Yu-Hang Zhou, Mingdong Ou +2
To maximize cumulative user engagement (e.g. cumulative clicks) in sequential recommendation, it is often needed to tradeoff two potentially conflicting objectives, that is, pursui…
cs.LG2018★ 3 cited
Multinomial Logit Bandit with Linear Utility Functions
Mingdong Ou, Nan Li, Shenghuo Zhu +1
Multinomial logit bandit is a sequential subset selection problem which arises in many applications. In each round, the player selects a -cardinality subset from candidate i…
cs.LG2017★ 10 cited
Open-Category Classification by Adversarial Sample Generation
Yang Yu, Wei-Yang Qu, Nan Li +1
In real-world classification tasks, it is difficult to collect training samples from all possible categories of the environment. Therefore, when an instance of an unseen class appe…