Denoising Time Cycle Modeling for Recommendation

no code implementations • 5 Feb 2024 • Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong

We define the subset of user behaviors that are irrelevant to the target item as noises, which limits the performance of target-related time cycle modeling and affect the recommendation performance.

Denoising Recommendation Systems

COUPA: An Industrial Recommender System for Online to Offline Service Platforms

no code implementations • 25 Apr 2023 • Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou

Aiming at helping users locally discovery retail services (e. g., entertainment and dinning), Online to Offline (O2O) service platforms have become popular in recent years, which greatly challenge current recommender systems.

Position Recommendation Systems