2 papers
cs.IR2025
ChoirRec: Semantic User Grouping via LLMs for Conversion Rate Prediction of Low-Activity Users
Dakai Zhai, Jiong Gao, Boya Du +4
Accurately predicting conversion rates (CVR) for low-activity users remains a fundamental challenge in large-scale e-commerce recommender systems. Existing approaches face three cr…
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…