A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search

no code implementations • 24 May 2024 • Huimu Wang, Mingming Li, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu, Jinghe Hu

Subsequently, we derive a utility matrix based on the correlations, enabling the adaptive ranking of items in line with user preferences and establishing a balance between the aforementioned objectives.

Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model

no code implementations • 9 May 2024 • Enqiang Xu, Yiming Qiu, Junyang Bai, Ping Zhang, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Mingming Li

In large e-commerce platforms, search systems are typically composed of a series of modules, including recall, pre-ranking, and ranking phases.

Binary Classification Contrastive Learning

Sequential Search with Off-Policy Reinforcement Learning

no code implementations • 1 Feb 2022 • Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang

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.

reinforcement-learning Reinforcement Learning (RL) +1