we propose a method that focuses on the generation of REALISTIC NAVIGATIONAL PATHS, i.e., web logs. Our approach is extremely relevant because it can at the same time tackle the problem of lack of publicly available data about web navigation logs, and also be adopted in industry for AUTOMATIC GENERATION OF REALISTIC TEST SETTINGS of Web sites yet to be deployed.
Tag: neural network
Predictive Analysis on U.S. Midterm Elections on Twitter with RNN
We implemented an RNN-based analysis that aim to gauge local support for the two major US political parties in the 68 most competitive House of Representative districts during the 2018 U.S. mid-term elections.