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New Media User Behaviour Research Based on Big Data Analysis
Author(s) -
Zhixuan Zhu
Publication year - 2021
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 - 10.1088/1742-6596/1802/4/042037
Subject(s) - big data , computer science , data science , dual (grammatical number) , data mining , literature , art
With the rapid development of diversified business models and market segments in the era of big data, many industries are facing the dual challenges of high customer acquisition costs and churn rates. How to accurately obtain user behavior data has become a top priority. This article uses big data technology to scientifically analyze the ratings and behavior data of new media users. Through new media user behavior analysis, we can accurately discover user behavior characteristics, optimize users’ personalized experience, and bring better new media business operations—basis for decision-making.

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