Statistical Analysis of the User Viewing Pay Channels Behavior Based on RFML Model

Abstract

Based on the two-way digital cable set-top box return real-time data acquisition, pay channels on Xi'an 27966 users viewing data and analyze the users’ data. First of all, pay channels to build RFML model user viewing behavior. Then, using descriptive statistical analysis and RFM model to analyze and build the user behavior index calculation model. Finally, according to the analysis results, the study could give the conclusion that the score of CCTV the first theatre channel is highest and the Laughter theatre channel and charming music channel have the lowest score.