Heterogeneous embedding propagation for large-scale e-commerce user alignment

• Main Authors: ZHENG, Vincent W., SHA, Mo, LI, Yuchen, YANG, Hongxia, FANG, Yuan, ZHANG, Zhenjie, TAN, Kian-Lee, CHANG, Kevin Chen-Chuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: E-commerce User Alignment; Heterogeneous Interaction Graph; Heterogeneous Embedding Propagation; Databases and Information Systems; E-Commerce
• Online Access: https://ink.library.smu.edu.sg/sis_research/4231; https://ink.library.smu.edu.sg/context/sis_research/article/5234/viewcontent/hep.pdf
• Institution: Singapore Management University

We study the important problem of user alignment in e-commerce: to predict whether two online user identities that access an e-commerce site from different devices belong to one real-world person. As input, we have a set of user activity logs from Taobao and some labeled user identity linkages. User...