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Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning


Jun 25, 2021
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng Ann Heng


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AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction


Jun 09, 2021
Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He

* 10 pages 

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Dual Graph enhanced Embedding Neural Network for CTR Prediction


Jun 08, 2021
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He

* KDD 2021 

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Dual Graph enhanced Embedding Neural Network for CTRPrediction


Jun 01, 2021
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He

* KDD 2021 

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ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table


May 11, 2021
Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu

* 10 pages 

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Deep Learning for Click-Through Rate Estimation


Apr 21, 2021
Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He

* Paper accepted at IJCAI 2021 (Survey Track) 

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An Adversarial Imitation Click Model for Information Retrieval


Apr 19, 2021
Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu

* Accepted to WWW 2021 

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Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation


Jan 13, 2021
Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates

* Accepted by the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020 Research Track) 

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AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction


Dec 16, 2020
Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He

* 8 pages 

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A Practical Incremental Method to Train Deep CTR Models


Sep 04, 2020
Yichao Wang, Huifeng Guo, Ruiming Tang, Zhirong Liu, Xiuqiang He


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GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems


Sep 02, 2020
Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates

* Accepted by CIKM2020 Applied Research Track 

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Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach


Aug 26, 2020
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He

* Accepted by SIGIR 2020 

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AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction


Mar 26, 2020
Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu


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Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction


Apr 09, 2019
Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang

* www2019 

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Large-scale Interactive Recommendation with Tree-structured Policy Gradient


Nov 14, 2018
Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu


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Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data


Jul 01, 2018
Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He


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DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction


May 16, 2018
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong

* 14 pages. arXiv admin note: text overlap with arXiv:1703.04247 

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DeepFM: A Factorization-Machine based Neural Network for CTR Prediction


Mar 13, 2017
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He


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