Open AccessAnalysis and Design of Activity Degree Monitoring Algorithm
Author(s) -
Yinghao Du,
Xuebing Wang,
Zhihai Lei,
Yiran Li,
Bin Hu,
Guang Li
Publication year - 2020
Publication title -
international journal of mathematical models and methods in applied sciences
Language(s) - English
Resource type - Journals
ISSN - 1998-0140
DOI - 10.46300/9101.2020.14.22
Subject(s) - revenue , computer science , alarm , the internet , product (mathematics) , variety (cybernetics) , value (mathematics) , degree (music) , world wide web , business , mathematics , machine learning , engineering , artificial intelligence , physics , geometry , accounting , acoustics , aerospace engineering
DAU (Daily Active User) is the number of daily active users, often used to reflect the operation of websites, Internet APPs and games [1]. DAU usually counts the number of users who have logged in or used a product (removing users who are repeatedly logged in) within one day (statistical day), which is similar to the concept of visitors (UV) in the traffic statistics tool. As we all know, the revenue source of some Internet applications lies in the revenue of advertising, and the amount of advertising revenue depends on the size of DAU. Therefore, the design strategy and algorithm to monitor the fluctuations of DAU can better help people analyze and improve our products, thus bringing improvements to the products. Therefore, this paper will design a variety of algorithm construction models to monitor the fluctuation of DAU, and achieve alarm announcement, analysis and location of the abnormal fluctuation of DAU, so as to explore of the value of DAU.