A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
With the development of the Internet, online advertising spreads across every corner of the world, the ads' click through rate (CTR) estimation is an important method to improve the online advertising revenue. Compared with the linear model, the nonlinear models can study much more complex relationships between a large number of nonlinear characteristics, so as to improve the accuracy of the estimation of the ads' CTR. The recurrent neural network (RNN) based on Long-Short Term Memory (LSTM) isdoi:10.1051/itmconf/20160704001 fatcat:wtjc6qwy5be47jfxxq7clc3bxu