A Stochastic Treatment of Learning to Rank Scoring Functions-Reference-Cited by-同舟云学术

A Stochastic Treatment of Learning to Rank Scoring Functions

Published:2020-01-20 Issue: Volume: Page:
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Container-title:Proceedings of the 13th International Conference on Web Search and Data Mining
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Author:

Bruch Sebastian¹,Han Shuguang¹,Bendersky Michael¹,Najork Marc¹

Affiliation:

1. Google Research, Mountain View, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3336191.3371844

Reference40 articles.

1. Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks

2. An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance

3. Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks

4. Learning to rank using gradient descent

5. Christopher J. C. Burges Robert Ragno and Quoc Viet Le. 2006. Learning to Rank with Nonsmooth Cost Functions. In Advances in Neural Information Processing Systems. 193--200. Christopher J. C. Burges Robert Ragno and Quoc Viet Le. 2006. Learning to Rank with Nonsmooth Cost Functions. In Advances in Neural Information Processing Systems. 193--200.

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