A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism
Joint Authors
Wang, Qianqian
Liu, Fang’ai
Xing, Shuning
Zhao, Xiaohui
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Click-through rate prediction is critical in Internet advertising and affects web publisher’s profits and advertiser’s payment.
The traditional method of obtaining features using feature extraction did not consider the sparseness of advertising data and the highly nonlinear association between features.
To reduce the sparseness of data and to mine the hidden features in advertising data, a method that learns the sparse features is proposed.
Our method exploits dimension reduction based on decomposition, takes advantage of the attention mechanism in neural network modelling, and improves FM to make feature interactions contribute differently to the prediction.
We utilize stack autoencoder to explore high-order feature interactions and use improved FM for low-order feature interactions to portray the nonlinear associated relationship of features.
The experiment shows that our method improves the effect of CTR prediction and produces economic benefits in Internet advertising.
American Psychological Association (APA)
Wang, Qianqian& Liu, Fang’ai& Xing, Shuning& Zhao, Xiaohui. 2018. A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1132201
Modern Language Association (MLA)
Wang, Qianqian…[et al.]. A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1132201
American Medical Association (AMA)
Wang, Qianqian& Liu, Fang’ai& Xing, Shuning& Zhao, Xiaohui. A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1132201
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132201