71 citations
- Microsoft (United States)US5 papers
- Jingdong (China)CN3 papers
- Cornell UniversityUS1 paper
- Hewlett-Packard (United States)US1 paper
- JDSU (United States)US1 paper
- South China University of TechnologyCN1 paper
- Stanford UniversityUS1 paper
- University of California, BerkeleyUS1 paper
- University of Hong KongHK1 paper
Showing 2021Show all
3 papers · 1 filter
cs.CL2021★ 14 cited
DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization
Xueying Zhang, Yunjiang Jiang, Yue Shang +5
We propose a novel domain-specific generative pre-training (DS-GPT) method for text generation and apply it to the product titleand review summarization problems on E-commerce mobi…
cs.IR2021★ 3 cited
SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search
Xinlin Xia, Shang Wang, Han Zhang +5
Graph convolution networks (GCN), which recently becomes new state-of-the-art method for graph node classification, recommendation and other applications, has not been successfully…
cs.IR2021★ 24 cited
Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index
Han Zhang, Hongwei Shen, Yiming Qiu +6
Embedding index that enables fast approximate nearest neighbor(ANN) search, serves as an indispensable component for state-of-the-art deep retrieval systems. Traditional approaches…