Chong Chen

Orcid: 0000-0003-1417-2295

Affiliations:
  • Tsinghua University, Institute for Artificial Intelligence, Beijing, China


According to our database1, Chong Chen authored at least 21 papers between 2018 and 2024.

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Bibliography

2024
Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval.
CoRR, 2024

2023
A Survey on Dropout Methods and Experimental Verification in Recommendation.
IEEE Trans. Knowl. Data Eng., July, 2023

Sequential Recommendation with Multiple Contrast Signals.
ACM Trans. Inf. Syst., January, 2023

Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation.
ACM Trans. Inf. Syst., January, 2023

Session Search with Pre-trained Graph Classification Model.
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.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Recommendation Unlearning.
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.
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.
ACM Trans. Inf. Syst., 2021

Efficient Non-Sampling Knowledge Graph Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Graph Heterogeneous Multi-Relational Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Efficient Neural Matrix Factorization without Sampling for Recommendation.
ACM Trans. Inf. Syst., 2020

Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation.
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.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Social Attentional Memory Network: Modeling Aspect- and Friend-Level Differences in Recommendation.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation.
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.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Missing Data Modeling with User Activity and Item Popularity in Recommendation.
Proceedings of the Information Retrieval Technology, 2018


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