5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2022
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service
Boya Du, Shaochuan Lin, Jiong Gao +6
Online Food Ordering Service (OFOS) is a popular location-based service that helps people to order what you want. Compared with traditional e-commerce recommendation systems, users…
cs.IR2022★ 1 cited
Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services
Shaochuan Lin, Yicong Yu, Xiyu Ji +6
In Location-Based Services(LBS), user behavior naturally has a strong dependence on the spatiotemporal information, i.e., in different geographical locations and at different times…
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…