Xin Shen

A Location-Based Personalized Focused Search System for Physically Challenged People

2015 · Advances in computer science research

Physically Challenged people are a special part of society, which need more care. Because of the huge differences in physical conditions, qualities of life, locations and personal backgrounds, there exists a lot of challenges for …

Semantic Embedded Deep Neural Network: A Generic Approach to Boost Multi-Label Image Classification Performance

2023 · arXiv (Cornell University)

Fine-grained multi-label classification models have broad applications in e-commerce, such as visual based label predictions ranging from fashion attribute detection to brand recognition. One challenge to achieve satisfactory performance for those classification tasks in real …

Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation

2024

Understanding customer behavior is crucial for improving service quality in large-scale E-commerce. This paper proposes C-STAR, a new framework that learns compact representations from customer shopping journeys, with good versatility to fuel multiple downstream customer-centric …

Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications

2020

The e-commerce appeals to a multitude of online shoppers by providing personalized experiences and becomes indispensable in our daily life. Accurately predicting user preference and making a recommendation of favorable items plays a crucial role …

Text Is All You Need: Learning Language Representations for Sequential Recommendation

2023

Sequential recommendation aims to model dynamic user behavior from historical interactions. Existing methods rely on either explicit item IDs or general textual features for sequence modeling to understand user preferences. While promising, these approaches still …