Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees-Reference-Cited by-同舟云学术

Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Etter Philip A.¹,Zhong Kai²,Yu Hsiang-Fu²,Ying Lexing¹,Dhillon Inderjit²

Affiliation:

1. Institute for Computational and Mathematical Engineering, Stanford University, USA

2. Amazon Search, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3511973

Reference19 articles.

1. N. N. Author. 2018. Suppressed for Anonymity. N. N. Author. 2018. Suppressed for Anonymity.

2. A Work-Efficient Parallel Sparse Matrix-Sparse Vector Multiplication Algorithm

3. Samy Bengio Jason Weston and David Grangier. 2010. Label embedding trees for large multi-class tasks. In Advances in Neural Information Processing Systems. 163–171. Samy Bengio Jason Weston and David Grangier. 2010. Label embedding trees for large multi-class tasks. In Advances in Neural Information Processing Systems. 163–171.

4. Error-Correcting Tournaments

5. K. Bhatia K. Dahiya H. Jain A. Mittal Y. Prabhu and M. Varma. 2016. The extreme classification repository: Multi-label datasets and code. http://manikvarma.org/downloads/XC/XMLRepository.html K. Bhatia K. Dahiya H. Jain A. Mittal Y. Prabhu and M. Varma. 2016. The extreme classification repository: Multi-label datasets and code. http://manikvarma.org/downloads/XC/XMLRepository.html

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