Open Benchmarking for Click-Through Rate Prediction-Reference-Cited by-同舟云学术

Open Benchmarking for Click-Through Rate Prediction

Published:2021-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Information & Knowledge Management
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Author:

Zhu Jieming¹,Liu Jinyang²,Yang Shuai³,Zhang Qi⁴,He Xiuqiang¹

Affiliation:

1. Huawei Noah's Ark Lab, Shenzhen, China

2. The Chinese University of Hong Kong, Hong Kong, China

3. Peking University, Beijing, China

4. Huawei Noah's Ark Lab, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3482486

Reference57 articles.

1. 2014. The Criteo Dataset. https://www.kaggle.com/c/criteo-display-adchallenge 2014. The Criteo Dataset. https://www.kaggle.com/c/criteo-display-adchallenge

2. 2015. The Avazu Dataset. https://www.kaggle.com/c/avazu-ctr-prediction 2015. The Avazu Dataset. https://www.kaggle.com/c/avazu-ctr-prediction

3. 2020. Neural Network Intelligence - An open source AutoML toolkit. https://github.com/Microsoft/nni 2020. Neural Network Intelligence - An open source AutoML toolkit. https://github.com/Microsoft/nni

4. 2021. The DeepCTR Package. https://github.com/shenweichen/DeepCTR 2021. The DeepCTR Package. https://github.com/shenweichen/DeepCTR

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