Chong Chen

According to our database, Chong Chen authored at least 31 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Explainable CTR Prediction via LLM Reasoning.

Xiaohan Yu, Li Zhang, Chong Chen

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future.

Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian

CoRR, 2024

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation.

Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng

CoRR, 2024

DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment.

Haitao Li, Qingyao Ai, Xinyan Han, Jia Chen, Qian Dong, Yiqun Liu, Chong Chen, Qi Tian

CoRR, 2024

Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval.

Shengjie Ma, Chong Chen, Qi Chu, Jiaxin Mao

CoRR, 2024

BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models.

Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu, Yiqun Liu, Chong Chen, Qi Tian

CoRR, 2024

OpenSiteRec: An Open Dataset for Site Recommendation.

Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models.

Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval.

Hanqi Zhang, Chong Chen, Lang Mei, Qi Liu, Jiaxin Mao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.

Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

A Survey on Dropout Methods and Experimental Verification in Recommendation.

Yangkun Li, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma, Yuekui Yang

IEEE Trans. Knowl. Data Eng., July, 2023

Sequential Recommendation with Multiple Contrast Signals.

Chenyang Wang, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma

ACM Trans. Inf. Syst., January, 2023

Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation.

Chong Chen, Weizhi Ma, Min Zhang, Chenyang Wang, Yiqun Liu, Shaoping Ma

ACM Trans. Inf. Syst., January, 2023

E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation.

Xinhang Li, Chong Chen, Xiangyu Zhao, Yong Zhang, Chunxiao Xing

CoRR, 2023

Session Search with Pre-trained Graph Classification Model.

Shengjie Ma, Chong Chen, Jiaxin Mao, Qi Tian, Xuhui Jiang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval.

Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case Retrieval.

Kun Zhang, Chong Chen, Yuanzhuo Wang, Qi Tian, Long Bai

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets.

Jiayu Li, Zhiyu He, Yumeng Cui, Chenyang Wang, Chong Chen, Chun Yu, Min Zhang, Yiqun Liu, Shaoping Ma

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Recommendation Unlearning.

Chong Chen, Fei Sun, Min Zhang, Bolin Ding

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Representation Alignment and Uniformity in Collaborative Filtering.

Chenyang Wang, Yuanqing Yu, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation.

Chenyang Wang, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma

ACM Trans. Inf. Syst., 2021

Efficient Non-Sampling Knowledge Graph Embedding.

Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Graph Heterogeneous Multi-Relational Recommendation.

Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Efficient Neural Matrix Factorization without Sampling for Recommendation.

Chong Chen, Min Zhang, Yongfeng Zhang, Yiqun Liu, Shaoping Ma

ACM Trans. Inf. Syst., 2020

Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation.

Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation.

Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation.

Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Social Attentional Memory Network: Modeling Aspect- and Friend-Level Differences in Recommendation.

Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation.

Chong Chen, Min Zhang, Chenyang Wang, Weizhi Ma, Minming Li, Yiqun Liu, Shaoping Ma

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Neural Attentional Rating Regression with Review-level Explanations.

Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Missing Data Modeling with User Activity and Item Popularity in Recommendation.

Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma

Proceedings of the Information Retrieval Technology, 2018