A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat-Reference-Cited by-同舟云学术

A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2023
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Author:

Yao Yuanzhou¹^ORCID,Zhang Zhao¹^ORCID,Yang Kaijia²^ORCID,Liang Huasheng²^ORCID,Yan Qiang²^ORCID,Zhuang Fuzheng³^ORCID,Xu Yongjun¹^ORCID,Diao Boyu¹^ORCID,Li Chao⁴^ORCID

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences, China

2. WeChat, Tencent, China

3. Institute of Artificial Intelligence, Beihang University, China

4. Zhejiang Lab, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3584650

Reference24 articles.

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4. Jerome H Friedman. 2001. Greedy function approximation: a gradient boosting machine. Annals of statistics (2001), 1189–1232.

5. Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. international joint conference on artificial intelligence (2017).

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