Adversarial Sampling and Training for Semi-Supervised Information Retrieval

Author:

Park Dae Hoon1,Chang Yi2

Affiliation:

1. Huawei Research America, USA

2. Jilin University, China

Publisher

ACM Press

Reference43 articles.

1. Alexey Borisov, Ilya Markov, Maarten de Rijke, and Pavel Serdyukov. 2016. A neural click model for web search. In Proceedings of the 25th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee, 531-541.

2. Chris Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, and Greg Hullender. 2005. Learning to rank using gradient descent. In Proceedings of the 22nd international conference on Machine learning. ACM, 89-96.

3. Christopher JC Burges. 2010. From ranknet to lambdarank to lambdamart: An overview. Learning11, 23-581 (2010), 81.

4. Christopher J Burges, Robert Ragno, and Quoc V Le. 2007. Learning to rank with nonsmooth cost functions. In Advances in neural information processing systems. 193-200.

5. Jingtao Ding, Fuli Feng, Xiangnan He, Guanghui Yu, Yong Li, and Depeng Jin. 2018. An improved sampler for bayesian personalized ranking by leveraging view data. In Companion of the The Web Conference 2018 on The Web Conference 2018. International World Wide Web Conferences Steering Committee, 13-14.

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