NExT Research Featured in the SIGIR 2021

Seven full papers from NExT researchers have been accepted to the SIGIR Conference 2021.

SIGIR is the world premier international forum for presenting novel research results and demonstrating new systems and techniques in information retrieval. The Conference will take place on July 11-15, 2021.

  1. Hybrid Learning to Rank for Financial Event Ranking Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng and Tat-Seng Chua

  2. Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method Fuli Feng, Weiran Huang, Xin Xin, Xiangnan He, Tat-Seng Chua and Qifan Wang

  3. Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang and Tat-Seng Chua

  4. Deconfounded Video Moment Retrieval with Causal Intervention Xun Yang, Fuli Feng, Wei Ji, Meng Wang and Tat-Seng Chua

  5. Self-supervised Graph Learning for Recommendation Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian and Xing Xie

  6. Causal Intervention for Leveraging Popularity Bias in Recommendation Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling and Yongdong Zhang

  7. CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua and Fei Wu