Research And Implementation Of User Behavior Data Collecting And Analysis For Mobile Reading Application

In recent years,with the innovation of technology and smart mobile devices,the mobile Internet has developed rapidly and penetrated into people's daily lives.Meanwhile,the scale of Chinese mobile reading market has been continuously expanding.The national policy of “Encouraging National Reading” has promoted the further development of the mobile reading industry.Furthermore,the Internet technology has laid a solid foundation for the development of mobile reading applications.Consequently,profits on mobile reading applications are increasing,more and more mobile reading applications are showing up.Nowadays,the market of mobile applications is highly competitive.Developers and vendors are trying to minimize the development cycles and costs,and release their applications as quickly as possible.Considering the lack of solutions and implementations of data collecting and analysis for mobile reading applications currently,this paper studies and implements a data collecting and analysis platform for mobile reading applications.Four tasks are accomplished in this paper as follows:(1)Studies the solution of data collecting and storage for mobile reading applications,designs and implements a data collecting SDK for Android mobile reading applications;(2)Statistics and mining of mobile reading data.Applies the Eclat algorithm for user reading association analysis,and the improved K-means algorithm for user clustering analysis;(3)Studies and improves the collaborative filtering algorithm on reading data in this paper.A formula for the implicit rating of reading items is defined,and a model of comprehensive similarity combines the users' reading preference and feature attributes is proposed.Furthermore,this paper proposes to introduce the cooling coefficient when calculating the implicit rating.The effectiveness of the coefficient is verified in this paper;(4)A platform for mobile reading data collecting,statistics and analysis based on the Spring Cloud micro-service architecture is built,realizes a series of functions including data collecting,statistics and analysis,reading recommendation,chart display and application management.