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Keping Yang

Embedding-based Product Retrieval in Taobao Search


Jun 17, 2021
Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, Qianli Ma

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* 9 pages, accepted by KDD2021 
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AutoDebias: Learning to Debias for Recommendation


May 10, 2021
Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang

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* Accepted by SIGIR 2021 
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Learning a Product Relevance Model from Click-Through Data in E-Commerce


Feb 14, 2021
Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan

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* Accepted to TheWebConf/WWW 2021 
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M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems


Jun 01, 2020
Menghan Wang, Yujie Lin, Guli Lin, Keping Yang, Xiao-ming Wu

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* Accepted by KDD 2020 ads track as an oral paper. Code address:https://github.com/99731/M2GRL 
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AliCoCo: Alibaba E-commerce Cognitive Concept Net


Mar 30, 2020
Xusheng Luo, Luxin Liu, Yonghua Yang, Le Bo, Yuanpeng Cao, Jinhang Wu, Qiang Li, Keping Yang, Kenny Q. Zhu

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* 15 pages. Accepted by SIGMOD 2020 Industry Track 
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Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs


Dec 12, 2019
Menghan Wang, Kun Zhang, Gulin Li, Keping Yang, Luo Si

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A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random


Oct 16, 2019
Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani

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* 16 pages, 6 figures, 4 tables 
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Conversion Rate Prediction via Post-Click Behaviour Modeling


Oct 15, 2019
Hong Wen, Jing Zhang, Yuan Wang, Wentian Bao, Quan Lin, Keping Yang

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* 11 pages, 7 figures, 8 tables 
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Conceptualize and Infer User Needs in E-commerce


Oct 08, 2019
Xusheng Luo, Yonghua Yang, Kenny Q. Zhu, Yu Gong, Keping Yang

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* 9 pages, 6 figures. Accepted by CIKM 2019 Applied Research Track 
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Multi-Level Deep Cascade Trees for Conversion Rate Prediction


Aug 29, 2018
Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Taiwei Jin, Fuyu Lv, Xiaofeng Pan, Pipei Huang, Zheng-Jun Zha

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* 9 pages, 8 figures, Submitted to CIKM'2018 
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