Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads-Reference-Cited by-同舟云学术

Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads

Published:2022-04-25 Issue: Volume: Page:
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Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Zheng Kaifu¹,Wang Lu¹,Li Yu¹,Chen Xusong¹,Liu Hu¹,Lu Jing¹,Zhao Xiwei¹,Peng Changping¹,Lin Zhangang¹,Shao Jingping¹

Affiliation:

1. Business Growth BU, JD.com, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3511953

Reference68 articles.

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3. Qingyao Ai Xuanhui Wang Sebastian Bruch Nadav Golbandi Michael Bendersky and Marc Najork. 2019. Learning groupwise multivariate scoring functions using deep neural networks. In SIGIR. 85–92. Qingyao Ai Xuanhui Wang Sebastian Bruch Nadav Golbandi Michael Bendersky and Marc Najork. 2019. Learning groupwise multivariate scoring functions using deep neural networks. In SIGIR. 85–92.

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5. A collaborative filtering approach to mitigate the new user cold start problem

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