research
∙
02/03/2023
Clustered Embedding Learning for Recommender Systems
In recent years, recommender systems have advanced rapidly, where embedd...
share
research
∙
01/17/2022
Exploit Customer Life-time Value with Memoryless Experiments
As a measure of the long-term contribution produced by customers in a se...
research
∙
12/30/2021
A General Traffic Shaping Protocol in E-Commerce
To approach different business objectives, online traffic shaping algori...
research
∙
12/12/2021
Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System
The homepage recommendation on most E-commerce applications places items...
research
∙
07/19/2021
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce
Ensemble models in E-commerce combine predictions from multiple sub-mode...
research
∙
07/16/2021
Imitate TheWorld: A Search Engine Simulation Platform
Recent E-commerce applications benefit from the growth of deep learning ...
research
∙
03/25/2020
Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce
Learning-to-rank (LTR) has become a key technology in E-commerce applica...
research
∙
03/25/2020
Beyond the Ground-Truth: An Evaluator-Generator Framework for Group-wise Learning-to-Rank in E-Commerce
Learning-to-rank (LTR) has become a key technology in E-commerce applica...
research
∙
04/18/2018