19 citations · 34 across the 3 of their papers we have counts for
3 papers
cs.IR2021★ 10 cited
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction
Fengtong Xiao, Lin Li, Weinan Xu +4
In E-commerce, vouchers are important marketing tools to enhance users' engagement and boost sales and revenue. The likelihood that a user redeems a voucher is a key factor in vouc…
cs.IR2020★ 5 cited
Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction
Weinan Xu, Hengxu He, Minshi Tan +3
Deep Interest Network (DIN) is a state-of-the-art model which uses attention mechanism to capture user interests from historical behaviors. User interests intuitively follow a hier…
cs.CL2018★ 19 cited
A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data
Jingang Wang, Junfeng Tian, Long Qiu +4
It is a challenging and practical research problem to obtain effective compression of lengthy product titles for E-commerce. This is particularly important as more and more users b…