MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels-Reference-Cited by-同舟云学术

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Published:2024-05-13 Issue: Volume:35 Page:292-301
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Container-title:Companion Proceedings of the ACM Web Conference 2024
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Author:

Chen Qi¹^ORCID,Geng Xiubo¹^ORCID,Rosset Corby²^ORCID,Buractaon Carolyn²^ORCID,Lu Jingwen²^ORCID,Shen Tao³^ORCID,Zhou Kun¹^ORCID,Xiong Chenyan⁴^ORCID,Gong Yeyun¹^ORCID,Bennett Paul⁵^ORCID,Craswell Nick²^ORCID,Xie Xing¹^ORCID,Yang Fan¹^ORCID,Tower Bryan²^ORCID,Rao Nikhil⁶^ORCID,Dong Anlei⁶^ORCID,Jiang Wenqi⁷^ORCID,Liu Zheng¹^ORCID,Li Mingqin²^ORCID,Liu Chuanjie¹^ORCID,Li Zengzhong²^ORCID,Majumder Rangan²^ORCID,Neville Jennifer²^ORCID,Oakley Andy²^ORCID,Risvik Knut Magne⁸^ORCID,Simhadri Harsha Vardhan²^ORCID,Varma Manik⁹^ORCID,Wang Yujing¹^ORCID,Yang Linjun²^ORCID,Yang Mao¹^ORCID,Zhang Ce¹⁰^ORCID

Affiliation:

1. Microsoft, Beijing, China

2. Microsoft, Redmond, USA

3. University of Technology Sydney, Sydney, Australia

4. Carnegie Mellon University, Pittsburgh, USA

5. Spotify, New York, USA

6. Microsoft, Mountain View, USA

7. ETH Zurich, Zürich, Switzerland

8. Microsoft, Oslo, Norway

9. Microsoft, Bengaluru, India

10. ETH Zürich, Zürich, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3648327

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4. Artem Babenko and Victor Lempitsky. 2016. Efficient indexing of billion-scale datasets of deep descriptors. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2055--2063.

5. Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors