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

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

10.1016/j.ipm.2019.102076

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/168417

Similar Items