Guoyu Tang

Sequential Search with Off-Policy Reinforcement Learning

2021

Recent years have seen a significant amount of interests in Sequential Recommendation (SR), which aims to understand and model the sequential user behaviors and the interactions between users and items over time. Surprisingly, despite the …

Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce

2023 · arXiv (Cornell University)

Ranking model plays an essential role in e-commerce search and recommendation. An effective ranking model should give a personalized ranking list for each user according to the user preference. Existing algorithms usually extract a user …