How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode
Published in SIGIR, 2021
This work studies purchase prediction from the perspective of information diffusion in Taocode, a product-sharing mechanism on Taobao. Based on more than 100 million real-world sharing records, it introduces InfNet, a dynamic graph neural network with structural and temporal modeling to capture how product interests spread between users and influence subsequent purchases.
Recommended citation: Xuanwen Huang, Yang Yang, Ziqiang Cheng, Shen Fan, Zhongyao Wang, Juren Li, Jun Zhang, and Jingmin Chen. How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode. SIGIR 2021.
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