Analysis of Mobile Internet Multi - context User Preference
Zhen‐Yu Yin, Yi Hua Jiang, Jun He · 2017
With the increasing popularity of smart mobile devices and the rapid development of mobile Internet, which provides mobile users with a broader platform for the behavior.The rich data connotation provides favorable conditions for more accurate user behavior analysis.Based on the behavior of mobile Internet users, this paper proposes a multi -context mobile user preference analysis method.This method classifies the user preference content according to the user information and the log to improve the efficiency of data analysis.And the user preference correlation model is generated by using the association rule Apriori algorithm in SPSS Modeler to construct the user preference analysis model.Finally, the effectiveness of the method is verified by analyzing the examples and comparing experiments.