Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction

Author:

Wang Fangye1ORCID,Gu Hansu2ORCID,Li Dongsheng3ORCID,Lu Tun1ORCID,Zhang Peng1ORCID,Gu Ning1ORCID

Affiliation:

1. Fudan University, Shanghai, China

2. Independent, Seattle, WA, USA

3. Microsoft Research Asia, Shanghai, China

Funder

the National Natural Science Foundation of China (NSFC) under Grants

Publisher

ACM

Reference74 articles.

1. 2014. Idiots' Approach for Display Advertising Challenge. https://www.csie.ntu.edu.tw/~r01922136/kaggle-2014-criteo.pdf 2014. Idiots' Approach for Display Advertising Challenge. https://www.csie.ntu.edu.tw/~r01922136/kaggle-2014-criteo.pdf

2. 2017. Introducing TensorFlow Feature Columns. https://developers.googleblog.com/2017/11/introducing-tensorflow-feature-columns.html 2017. Introducing TensorFlow Feature Columns. https://developers.googleblog.com/2017/11/introducing-tensorflow-feature-columns.html

3. Hervé Abdi and Lynne J Williams . 2010. Principal component analysis . Wiley interdisciplinary reviews: computational statistics 2, 4 ( 2010 ), 433--459. Hervé Abdi and Lynne J Williams. 2010. Principal component analysis. Wiley interdisciplinary reviews: computational statistics 2, 4 (2010), 433--459.

4. Linas Baltrunas , Karen Church , Alexandros Karatzoglou , and Nuria Oliver . 2015 . Frappe: Understanding the usage and perception of mobile app recommendations in-the-wild. arXiv preprint arXiv:1505.03014 (2015). Linas Baltrunas, Karen Church, Alexandros Karatzoglou, and Nuria Oliver. 2015. Frappe: Understanding the usage and perception of mobile app recommendations in-the-wild. arXiv preprint arXiv:1505.03014 (2015).

5. Mathieu Blondel , Akinori Fujino , Naonori Ueda , and Masakazu Ishihata . 2016. Higher-order factorization machines. Advances in Neural Information Processing Systems 29 ( 2016 ). Mathieu Blondel, Akinori Fujino, Naonori Ueda, and Masakazu Ishihata. 2016. Higher-order factorization machines. Advances in Neural Information Processing Systems 29 (2016).

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