5 citations · 6 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…