Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction-Reference-Cited by-同舟云学术

Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
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Author:

Liu Bin¹,Tang Ruiming¹,Chen Yingzhi²,Yu Jinkai¹,Guo Huifeng¹,Zhang Yuzhou¹

Affiliation:

1. Huawei Noah's Ark Lab, China

2. Jinan University, China

Publisher

ACM Press

Reference40 articles.

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3. Patrick PK Chan, Xian Hu, Lili Zhao, Daniel S Yeung, Dapeng Liu, and Lei Xiao. 2018. Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences.. In IJCAI. 2007-2013.

4. Yin Wen Chang, Cho Jui Hsieh, Kai Wei Chang, Michael Ringgaard, and Chih Jen Lin. 2010. Training and Testing Low-degree Polynomial Data Mappings via Linear SVM. Journal of Machine Learning Research 11, 11 (2010), 1471-1490.

5. Junxuan Chen, Baigui Sun, Hao Li, Hongtao Lu, and Xian Sheng Hua. 2016. Deep CTR Prediction in Display Advertising. (2016), 811-820.

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