Learning to Rank Using Localized Geometric Mean Metrics-Reference-Cited by-同舟云学术

Learning to Rank Using Localized Geometric Mean Metrics

Published:2017-08-07 Issue: Volume: Page:
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Container-title:Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Su Yuxin¹,King Irwin¹,Lyu Michael¹

Affiliation:

1. Chinese University of Hong Kong, Hong Kong, Hong Kong

Funder

Research Grants Council of the Hong Kong Special Administrative Region China

Microsoft Research Asia Collaborative Research Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3077136.3080828

Reference34 articles.

1. Multivariable Functional Interpolation and Adaptive Networks;Broomhead D.;Complex Systems,1988

2. Learning to rank using gradient descent

3. Learning to Rank Using an Ensemble of Lambda-Gradient Models;Burges Christopher J. C.;Journal of Machine Learning Research (JMLR): Workshop and Conference Proceedings,2011

4. Learning to rank

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