HoAFM: A High-order Attentive Factorization Machine for CTR Prediction
10.1016/j.ipm.2019.102076
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2020
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sg-nus-scholar.10635-1684172023-09-20T08:59:53Z HoAFM: A High-order Attentive Factorization Machine for CTR Prediction Zhulin Tao Xiang Wang Xiangnan He Xianglin Huang Tat-Seng Chua DEPT OF COMPUTER SCIENCE Factorization machines High-order feature interactions Attention mechanism Deep neural network 10.1016/j.ipm.2019.102076 Information Processing & Management 57 6 102076 2020-05-22T06:16:53Z 2020-05-22T06:16:53Z 2019-07-02 Article Zhulin Tao, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua (2019-07-02). HoAFM: A High-order Attentive Factorization Machine for CTR Prediction. Information Processing & Management 57 (6) : 102076. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ipm.2019.102076 3064573 https://scholarbank.nus.edu.sg/handle/10635/168417 Elsevier Ltd |
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Factorization machines High-order feature interactions Attention mechanism Deep neural network |
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Factorization machines High-order feature interactions Attention mechanism Deep neural network Zhulin Tao Xiang Wang Xiangnan He Xianglin Huang Tat-Seng Chua HoAFM: A High-order Attentive Factorization Machine for CTR Prediction |
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10.1016/j.ipm.2019.102076 |
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DEPT OF COMPUTER SCIENCE |
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DEPT OF COMPUTER SCIENCE Zhulin Tao Xiang Wang Xiangnan He Xianglin Huang Tat-Seng Chua |
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Article |
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Zhulin Tao Xiang Wang Xiangnan He Xianglin Huang Tat-Seng Chua |
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Zhulin Tao |
title |
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction |
title_short |
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction |
title_full |
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction |
title_fullStr |
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction |
title_full_unstemmed |
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction |
title_sort |
hoafm: a high-order attentive factorization machine for ctr prediction |
publisher |
Elsevier Ltd |
publishDate |
2020 |
url |
https://scholarbank.nus.edu.sg/handle/10635/168417 |
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1778169361703370752 |