Open AccessDesign of Mobile APP User Behavior Analysis Engine Based on Cloud Computing
Author(s) -
Qiang Ren
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/2/022092
Subject(s) - cloud computing , computer science , big data , the internet , world wide web , architecture , computer security , data mining , operating system , art , visual arts
With the rapid development of mobile Internet, operators are facing more and more fierce competition, traffic management is imperative. Accurate marketing based on user behavior analysis is an important means. However, in the era of big data, with the rapid growth of mobile Internet services and the increase in the number of users, the traditional architecture is difficult to adapt to the needs of mass data mining. The purpose of this paper is to make the Internet operators in China face a new development opportunity, start to move towards the road of traffic management to traffic management, and conduct an in-depth analysis of users’ behavior rules, to explore the real needs of the market and the majority of users. This paper proposes a cloud-based mobile Internet big data user behavior analysis engine solution, including the design of the overall system architecture, big data warehousing and preprocessing components, big data user behavior analysis model and other key modules, and finally analyzes the system test results.