4 papers · 1 filter
ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerce
Zheng Fang, Donghao Xie, Ming Pang +5
Relevance modeling in e-commerce search remains challenged by semantic gaps in term-matching methods (e.g., BM25) and neural models' reliance on the scarcity of domain-specific har…
A Semi-supervised Scalable Unified Framework for E-commerce Query Classification
Chunyuan Yuan, Chong Zhang, Zheng Fang +5
Query classification, including multiple subtasks such as intent and category prediction, is vital to e-commerce applications. E-commerce queries are usually short and lack context…
Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising
Zhenhui Liu, Chunyuan Yuan, Ming Pang +7
Retrieval systems primarily address the challenge of matching user queries with the most relevant advertisements, playing a crucial role in e-commerce search advertising. The diver…
A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce
Chunyuan Yuan, Ming Pang, Zheng Fang +3
Query intent classification is an essential module for customers to find desired products on the e-commerce application quickly. Most existing query intent classification methods r…