activity
20192021
most citedNeural Interactive Collaborative Filtering

123 citations · 149 across the 5 of their papers we have counts for

collaborators

7 papers

cs.IR20211 cited

Pre-trained Language Model based Ranking in Baidu Search

Lixin Zou, Shengqiang Zhang, Hengyi Cai +8

As the heart of a search engine, the ranking system plays a crucial role in satisfying users' information demands. More recently, neural rankers fine-tuned from pre-trained languag…

cs.LG2021

Data-Efficient Reinforcement Learning for Malaria Control

Lixin Zou, Long Xia, Linfang Hou +2

Sequential decision-making under cost-sensitive tasks is prohibitively daunting, especially for the problem that has a significant impact on people's daily lives, such as malaria c…

cs.LG2020

Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies

Jinlin Lai, Lixin Zou, Jiaxing Song

Off-policy evaluation is a key component of reinforcement learning which evaluates a target policy with offline data collected from behavior policies. It is a crucial step towards…

cs.CL20204 cited

Meta-Learning for Neural Relation Classification with Distant Supervision

Zhenzhen Li, Jian-Yun Nie, Benyou Wang +4

Distant supervision provides a means to create a large number of weakly labeled data at low cost for relation classification. However, the resulting labeled instances are very nois…

cs.IR2020123 cited

Neural Interactive Collaborative Filtering

Lixin Zou, Long Xia, Yulong Gu +4

In this paper, we study collaborative filtering in an interactive setting, in which the recommender agents iterate between making recommendations and updating the user profile base…

cs.IR201921 cited

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems

Lixin Zou, Long Xia, Zhuoye Ding +3

Recommender systems play a crucial role in our daily lives. Feed streaming mechanism has been widely used in the recommender system, especially on the mobile Apps. The feed streami…