Investigating the Behaviors of Mobile Games and Online Streaming Users for Online Marketing Recommendations

Mobile games have become online leisure and communication activities, so in recent years, different generation players have gradually become more involved in mobile games and the market has grown. Online streaming refers to entertainment and communicate in the form of a real-time broadcast on the in...

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Bibliographic Details
Published in:International journal of online marketing 2021-01, Vol.11 (1), p.39-61
Main Authors: Liao, Shu-hsien, Chiu, Wei-Lun
Format: Article
Language:English
Subjects:
Big Data
Cluster analysis
Computer & video games
Digital marketing
Internet marketing
Market surveys
Marketing
Online games
Players
Relational data bases
Streaming media
Web applications
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Summary:Mobile games have become online leisure and communication activities, so in recent years, different generation players have gradually become more involved in mobile games and the market has grown. Online streaming refers to entertainment and communicate in the form of a real-time broadcast on the internet, such as mobile gaming apps which create a one-stop game audio-visual interactive online marketing and social media/network platforms. Using a market survey on Taiwan players, a total of 1,020 questionnaires data are incorporated into a relational database. Big data analytics, including cluster analysis and association rules, are used to determine game players' profiles and their preference patterns and rules. Using cluster analysis, the authors divide Taiwan mobile game players into three clusters and then find each group's profiles. In addition, this study develops a rule-based recommendation approach, association rules, for investigating mobile games players' online streaming and purchasing behaviors in terms of online marketing recommendations.
ISSN:2156-1753
2156-1745
DOI:10.4018/IJOM.2021010103