Gong-Duo Zhang

2024

doi dblp
To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation.
Zhigang Huangfu|Binbin Hu|Zhengwei Wu|Fengyu Han|Gong-Duo Zhang|Lihong Gu|Zhiqiang Zhang
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.
Qian Zhao|Hao Qian|Ziqi Liu|Gong-Duo Zhang|Lihong Gu
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.
Junpeng Fang|Gongduo Zhang|Qing Cui|Lihong Gu|Longfei Li|Jinjie Gu|Jun Zhou
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

doi dblp
Alleviating Matching Bias in Marketing Recommendations.
Junpeng Fang|Qing Cui|Gongduo Zhang|Caizhi Tang|Lihong Gu|Longfei Li|Jinjie Gu|Jun Zhou|Fei Wu
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

2022

doi dblp
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.
Zhaoxin Huan|Gongduo Zhang|Xiaolu Zhang|Jun Zhou|Qintong Wu|Lihong Gu|Jinjie Gu|Yong He|Yue Zhu|Linjian Mo
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
doi dblp
A Multi-Task Learning Approach for Delayed Feedback Modeling.
Zhigang Huangfu|Gongduo Zhang|Zhengwei Wu|Qintong Wu|Zhiqiang Zhang|Lihong Gu|Jun Zhou|Jinjie Gu
Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022