| The user is a crucial factor in the development of Internet products. Therefore, developers can analyze the development trend, summarize the development strategies, and improve its quality by digging into users’ behaviors so that products remain invincible in this competitive market. In order to provide the solution for the problem in the development of Netease News, useful information must be mined from users’ behaviors and data reports of great reference value must be formed. The user analysis system reveals the detailed information of system users from the micro perspective. Meanwhile it analyzes development trends and potential problems of the promotion from the macro perspective.This system consists of two subsystems, data statistics and computation system and data visualization system. Goals and capabilities of the product are introduced by the demand analysis chapter. System architecture design is introduced by the summary design chapter. System implementation process is achieved by the detailed design and implementation chapter. The value of this system is clarified by case studies.The author divides the system into six modules and mostly takes part in each of them. User browsing report module calculates the number of browsing and login, daily and historical growth of reading and interest distribution. Personal information calculation module displays users’details including age, gender and region; meanwhile it stands out the number of browsing, login, feedback and share; besides it demonstrates loyalty, customer value and so on. User behavior data statistics and ranking module displays individual behavior times and the top users. Gold shop data statistics and ranking module displays data associated with gold coins. User portrait module not only includes distribution of age, gender, regional and user loyalty, but also covers churn rate of new users and old users which is the user’s overall analysis report. Channel analysis module performs value analysis of channels from overall users, user loyalty, user value, the increased number of new users per month and churn rate of new users.The version of beta0.8is available now. Despite the slight shortage of time and resource, it is capable of providing data support for product promotion and user research. The data generating from the system also provides effective reference for the development of the recommendation system and the advertising system. |
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