SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search

1 code implementation • NeurIPS 2021 • Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang

It stores the centroid points of the posting lists in the memory and the large posting lists in the disk.

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search

1 code implementation • NeurIPS 2021 • Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang

It stores the centroid points of the posting lists in the memory and the large posting lists in the disk.

GLOW : Global Weighted Self-Attention Network for Web Search

1 code implementation • 10 Jul 2020 • Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo

Deep matching models aim to facilitate search engines retrieving more relevant documents by mapping queries and documents into semantic vectors in the first-stage retrieval.

Document Ranking Information Retrieval +1

MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks

no code implementations • 3 Jul 2020 • Yusi Zhang, Chuanjie Liu, Angen Luo, Hui Xue, Xuan Shan, Yuxiang Luo, Yiqian Xia, Yuanchi Yan, Haidong Wang

The common framework is to train two encoding models based on neural embedding which learn the distributed representations of queries and documents separately and match them in the latent semantic space.

Graph Attention