Learning Large Scale Ordinal Ranking Model via Divide-and-Conquer Technique-Reference-Cited by-同舟云学术

Learning Large Scale Ordinal Ranking Model via Divide-and-Conquer Technique

Published:2018 Issue: Volume: Page:
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Container-title:Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18
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Author:

Tang Lu¹,Chaudhuri Sougata²,Bagherjeiran Abraham²,Zhou Ling¹

Affiliation:

1. University of Michigan, Ann Arbor, MI, USA

2. A9.com, Inc., Palo Alto, CA, USA

Publisher

ACM Press

Reference30 articles.

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2. Kuang-Yu Chang, Chu-Song Chen, and Yi-Ping Hung. 2010. A ranking approach for human ages estimation based on face images. In Pattern Recognition (ICPR), 2010 20th International Conference on. IEEE, 3396--3399.

3. Sougata Chaudhuri, Abraham Bagherjeiran, and James Liu. 2017. Ranking and calibrating click-attributed purchases in performance display advertising. In Proceedings of the 2017 AdKDD and TargetAd Workshop. 145--152.

4. Po-Lung Chen, Chen-Tse Tsai, Yao-Nan Chen, Ku-Chun Chou, Chun-Liang Li, Cheng-Hao Tsai, Kuan-Wei Wu, Yu-Cheng Chou, Chung-Yi Li, Wei-Shih Lin, et al. 2011. A linear ensemble of individual and blended models for music rating prediction. In Proceedings of the 2011 International Conference on KDD Cup 2011- Volume 18. JMLR. org, 21--60.

5. Xueying Chen and Min-ge Xie. 2014. A split-and-conquer approach for analysis of extraordinarily large data. Statistica Sinica (2014), 1655--1684.

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