10 citations · 12 across the 2 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
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…