1 citations · 2 across the 8 of their papers we have counts for
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CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services
Guyu Jiang, Xiaoyun Li, Rongrong Jing +4
Click-through rate (CTR) prediction is a crucial task in the context of an online on-demand food delivery (OFD) platform for precisely estimating the probability of a user clicking…
Mobile Supply: The Last Piece of Jigsaw of Recommender System
Zhenhao Jiang, Biao Zeng, Hao Feng +4
Recommendation system is a fundamental functionality of online platforms. With the development of computing power of mobile phones, some researchers have deployed recommendation al…
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…
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint
Zhenhao Jiang, Biao Zeng, Hao Feng +7
Large-scale online recommender system spreads all over the Internet being in charge of two basic tasks: Click-Through Rate (CTR) and Post-Click Conversion Rate (CVR) estimations. H…