Behavior Analysis Of Housing Transaction App Users

With the development of the mobile Internet and smart phone performance improvement,people use mobile devices connected to the Internet has become one of the most important ways to access the network.User's interest is the power and source of enterprise development,best customer service is constantly listen to user comments and to analyze user behavior analysis,and finally the most suitable programme and meet user needs.Analysis of user behavior data is the most effective way.We can determine the positioning of product customer base,mainstream user group reflects most of the user's preferences and behaviors.Through the study of mainstream acts you will learn about the demands of the users using the product in order to optimize the product,explore the potential needs of users.Enterprise products operation can also be based on major groups to find more effective and cost-effective marking strategy,can provide effective user model for C2C e-commerce platform,to provide users with personalized services and industry research to make a solid and reliable data basis.Based on S Corporation owned a housing App user data as a data source,information actions include the information needs of users,information seeking behavior,information behavior,information selection behavior.Influencing factors influencing user behavior includes:development of mobile electronic products,requirements,and policies.This article on data analysis and technology model combines in-depth theoretical analysis data.In the SQL Server platform first data pretreatment of the user data;then for one month of daily total number of users on line distribution,quantities of flow and connections are used statistical analysis of the distribution of the long,final extract data for analysis.On SPSS platform,using K-means clustering algorithm to establish the user data model,model of the user are divided into 3 categories,further analysis for 3 user groups,combined with the existing Community environment acupuncture not only recommendations specific to this type of software,decision support is also.provided for the development of the industry.