HoAFM: A High-order Attentive Factorization Machine for CTR Prediction

• Main Authors: Zhulin Tao, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua
• Other Authors: DEPT OF COMPUTER SCIENCE
• Format: Article
• Published: Elsevier Ltd 2020
• Subjects: Factorization machines; High-order feature interactions; Attention mechanism; Deep neural network
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/168417
• Institution: National University of Singapore

10.1016/j.ipm.2019.102076