Chongming Gao

2025

Independent or Social Driven Decision? A Counterfactual Refinement Strategy for Graph-Based Social Recommendation.

Dongyang Li|Jianshan Sun|Chongming Gao|Fuli Feng|Kun Yuan

ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 3

Reinforced Prompt Personalization for Recommendation with Large Language Models.

Wenyu Mao|Jiancan Wu|Weijian Chen|Chongming Gao|Xiang Wang|Xiangnan He

ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 3

Vague Preference Policy Learning for Conversational Recommendation.

Gangyi Zhang|Chongming Gao|Wenqiang Lei|Xiaojie Guo|Shijun Li|Hongshen Chen|Zhuozhi Ding|Sulong Xu|Lingfei Wu

ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 3

Position-aware Graph Transformer for Recommendation.

Jiajia Chen|Jiancan Wu|Jiawei Chen|Chongming Gao|Yong Li|Xiang Wang

ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 6

An LLM-based Behavior Modeling Framework for Malicious User Detection.

Meng Jiang|Wenjie Wang|Chongming Gao|Shaofeng Hu|Kaishen Ou|Hui Lin|Fuli Feng

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation.

Shihao Cai|Jizhi Zhang|Keqin Bao|Chongming Gao|Qifan Wang|Fuli Feng|Xiangnan He

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

Process-Supervised LLM Recommenders via Flow-guided Tuning.

Chongming Gao|Mengyao Gao|Chenxiao Fan|Shuai Yuan|Wentao Shi|Xiangnan He

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems.

Jiaju Chen|Chongming Gao|Shuai Yuan|Shuchang Liu|Qingpeng Cai|Peng Jiang

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective.

Siyi Lin|Chongming Gao|Jiawei Chen|Sheng Zhou|Binbin Hu|Yan Feng|Chun Chen|Can Wang

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

SPRec: Self-Play to Debias LLM-based Recommendation.

Chongming Gao|Ruijun Chen|Shuai Yuan|Kexin Huang|Yuanqing Yu|Xiangnan He

Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

Leveraging LLMs for Influence Path Planning in Proactive Recommendation.

Mingze Wang|Shuxian Bi|Wenjie Wang|Chongming Gao|Yangyang Li|Fuli Feng

Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2024

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System.

Chongming Gao|Shiqi Wang|Shijun Li|Jiawei Chen|Xiangnan He|Wenqiang Lei|Biao Li|Yuan Zhang|Peng Jiang

ACM Transactions on Information Systems (TOIS) 2024 Volume 42 Issue 1

Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning.

Gangyi Zhang|Chongming Gao|Hang Pan|Runzhe Teng|Ruizhe Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

Treatment Effect Estimation for User Interest Exploration on Recommender Systems.

Jiaju Chen|Wenjie Wang|Chongming Gao|Peng Wu|Jianxiong Wei|Qingsong Hua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

Large Language Models are Learnable Planners for Long-Term Recommendation.

Wentao Shi|Xiangnan He|Yang Zhang|Chongming Gao|Xinyue Li|Jizhi Zhang|Qifan Wang|Fuli Feng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems.

Yuanqing Yu|Chongming Gao|Jiawei Chen|Heng Tang|Yuefeng Sun|Qian Chen|Weizhi Ma|Min Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients.

Zihao Zhao|Yi Jing|Fuli Feng|Jiancan Wu|Chongming Gao|Xiangnan He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

2023

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation.

Chongming Gao|Kexin Huang|Jiawei Chen|Yuan Zhang|Biao Li|Peng Jiang|Shiqi Wang|Zhong Zhang|Xiangnan He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

On the Theories Behind Hard Negative Sampling for Recommendation.

Wentao Shi|Jiawei Chen|Fuli Feng|Jizhi Zhang|Junkang Wu|Chongming Gao|Xiangnan He

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems.

Chongming Gao|Shijun Li|Wenqiang Lei|Jiawei Chen|Biao Li|Peng Jiang|Xiangnan He|Jiaxin Mao|Tat-Seng Chua

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos.

Chongming Gao|Shijun Li|Yuan Zhang|Jiawei Chen|Biao Li|Wenqiang Lei|Peng Jiang|Xiangnan He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022