Keping Yang

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 32

Top Topics

Graph Representation

Recommender Systems

Relevance Model

Top Venues

Publications

Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang
Modeling User Behavior with Graph Convolution for Personalized Product Search. WWW (2022)
Fan Lu, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang
Modeling User Behavior with Graph Convolution for Personalized Product Search. CoRR (2022)
Quanyu Dai, Xiao-Ming Wu, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks. Pattern Recognit. 128 (2022)
Shaowei Yao, Jiwei Tan, Xi Chen, Juhao Zhang, Xiaoyi Zeng, Keping Yang
ReprBERT: Distilling BERT to an Efficient Representation-Based Relevance Model for E-Commerce. KDD (2022)
Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang
AutoDebias: Learning to Debias for Recommendation. SIGIR (2021)
Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, Qianli Ma
Embedding-based Product Retrieval in Taobao Search. CoRR (2021)
Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan
Learning a Product Relevance Model from Click-Through Data in E-Commerce. WWW (2021)
Junhao Zhang, Weidi Xu, Jianhui Ji, Xi Chen, Hongbo Deng, Keping Yang
Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce. WSDM (2021)
Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang
AutoDebias: Learning to Debias for Recommendation. CoRR (2021)
Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, Qianli Ma
Embedding-based Product Retrieval in Taobao Search. KDD (2021)
Xusheng Luo, Le Bo, Jinhang Wu, Lin Li, Zhiy Luo, Yonghua Yang, Keping Yang
AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerce. KDD (2021)
Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan
Learning a Product Relevance Model from Click-Through Data in E-Commerce. CoRR (2021)
Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin, Keping Yang
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction. SIGIR (2020)
Menghan Wang, Yujie Lin, Guli Lin, Keping Yang, Xiao-Ming Wu
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems. KDD (2020)
Wentian Bao, Hong Wen, Sha Li, Xiao-Yang Liu, Quan Lin, Keping Yang
GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation. SIGIR (2020)
Xusheng Luo, Luxin Liu, Yonghua Yang, Le Bo, Yuanpeng Cao, Jinghang Wu, Qiang Li, Keping Yang, Kenny Q. Zhu
AliCoCo: Alibaba E-commerce Cognitive Concept Net. SIGMOD Conference (2020)
Xusheng Luo, Luxin Liu, Yonghua Yang, Le Bo, Yuanpeng Cao, Jinhang Wu, Qiang Li, Keping Yang, Kenny Q. Zhu
AliCoCo: Alibaba E-commerce Cognitive Concept Net. CoRR (2020)
Fuyu Lv, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, Keping Yang
Unclicked User Behaviors Enhanced Sequential Recommendation. CoRR (2020)
Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning. WWW (2020)
Menghan Wang, Yujie Lin, Guli Lin, Keping Yang, Xiao-Ming Wu
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems. CoRR (2020)
Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. CoRR (2019)
Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. CIKM (2019)
Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani
A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random. CoRR (2019)
Xusheng Luo, Yonghua Yang, Kenny Q. Zhu, Yu Gong, Keping Yang
Conceptualize and Infer User Needs in E-commerce. CoRR (2019)
Hong Wen, Jing Zhang, Yuan Wang, Wentian Bao, Quan Lin, Keping Yang
Conversion Rate Prediction via Post-Click Behaviour Modeling. CoRR (2019)
Menghan Wang, Kun Zhang, Gulin Li, Keping Yang, Luo Si
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs. CoRR (2019)
Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang
Deep Session Interest Network for Click-Through Rate Prediction. CoRR (2019)
Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. AAAI (2019)
Xusheng Luo, Yonghua Yang, Kenny Qili Zhu, Yu Gong, Keping Yang
Conceptualize and Infer User Needs in E-commerce. CIKM (2019)
Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang
Deep Session Interest Network for Click-Through Rate Prediction. IJCAI (2019)
Li Chen, Yonghua Yang, Ningxia Wang, Keping Yang, Quan Yuan
How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation. WWW (2019)
Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Taiwei Jin, Fuyu Lv, Xiaofeng Pan, Pipei Huang, Zheng-Jun Zha
Multi-Level Deep Cascade Trees for Conversion Rate Prediction. CoRR (2018)