5 citations · 6 across the 6 of their papers we have counts for
6 papers
Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing
Bin Li, Jiayan Pei, Feiyang Xiao +5
In the mobile internet era, the Online Food Ordering Service (OFOS) emerges as an integral component of inclusive finance owing to the convenience it brings to people. OFOS platfor…
Exploring the Spatiotemporal Features of Online Food Recommendation Service
Shaochuan Lin, Jiayan Pei, Taotao Zhou +3
Online Food Recommendation Service (OFRS) has remarkable spatiotemporal characteristics and the advantage of being able to conveniently satisfy users' needs in a timely manner. The…
Multi-Granularity Attention Model for Group Recommendation
Jianye Ji, Jiayan Pei, Shaochuan Lin +4
Group recommendation provides personalized recommendations to a group of users based on their shared interests, preferences, and characteristics. Current studies have explored diff…
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…
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…
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…