Deep & Cross Network for Ad Click Predictions-Reference-Cited by-同舟云学术

Deep & Cross Network for Ad Click Predictions

Published:2017-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ADKDD'17
language:
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Author:

Wang Ruoxi¹,Fu Bin²,Fu Gang²,Wang Mingliang²

Affiliation:

1. Stanford University, Stanford, CA

2. Google Inc., New York, NY

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3124749.3124754

Reference18 articles.

1. Mathieu Blondel Akinori Fujino Naonori Ueda and Masakazu Ishihata. 2016. Higher-Order Factorization Machines. In Advances in Neural Information Processing Systems. 3351--3359. Mathieu Blondel Akinori Fujino Naonori Ueda and Masakazu Ishihata. 2016. Higher-Order Factorization Machines. In Advances in Neural Information Processing Systems. 3351--3359.

2. Simple and scalable response prediction for display advertising;Chapelle Olivier;ACM Transactions on Intelligent Systems and Technology (TIST),2015

3. Heng-Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg Corrado Wei Chai Mustafa Ispir and others. 2016. Wide & Deep Learning for Recommender Systems. arXiv preprint arXiv:1606.07792 (2016). Heng-Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg Corrado Wei Chai Mustafa Ispir and others. 2016. Wide & Deep Learning for Recommender Systems. arXiv preprint arXiv:1606.07792 (2016).

4. Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2015. Deep residual learning for image recognition. arXiv preprint arXiv:1512.03385 (2015). Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2015. Deep residual learning for image recognition. arXiv preprint arXiv:1512.03385 (2015).

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