72 citations · 189 across the 18 of their papers we have counts for
18 papers
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?
Da Xu, Bo Yang
The use of pretrained embeddings has become widespread in modern e-commerce machine learning (ML) systems. In practice, however, we have encountered several key issues when using p…
Causal Structure Learning with Recommendation System
Shuyuan Xu, Da Xu, Evren Korpeoglu +4
A fundamental challenge of recommendation systems (RS) is understanding the causal dynamics underlying users' decision making. Most existing literature addresses this problem by us…
Deep Learning Based Page Creation for Improving E-Commerce Organic Search Traffic
Cheng Jie, Da Xu, Zigeng Wang +1
Organic search comprises a large portion of the total traffic for e-commerce companies. One approach to expand company's exposure on organic search channel lies on creating landing…
Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System
Da Xu, Chuanwei Ruan
In the relatively short history of machine learning, the subtle balance between engineering and theoretical progress has been proved critical at various stages. The most recent wav…
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation
Da Xu, Yuting Ye, Chuanwei Ruan
The interventional nature of recommendation has attracted increasing attention in recent years. It particularly motivates researchers to formulate learning and evaluating recommend…
On the Advances and Challenges of Adaptive Online Testing
Da Xu, Bo Yang
In recent years, the interest in developing adaptive solutions for online testing has grown significantly in the industry. While the advances related to this relative new technolog…