Research on Big Data and Blockchain Mining Methods for Music Fan Users

被引：0
|
作者：
Zhao, Zhi Qi [1 ]
机构：
[1] Zhengzhou Normal Univ, Zhengzhou 450000, Peoples R China
来源：
27TH IEEE/ACIS INTERNATIONAL SUMMER CONFERENCE ON SOFTWARE ENGINEERING ARTIFICIAL INTELLIGENCE NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING, SNPD 2024-SUMMER | 2024年
关键词：
Data business; Blackchain; Internet records; fan economy; music fan users;
D O I：
10.1109/SNPD61259.2024.10673935
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Starting from the analysis of music fans, through the analysis of the behavior characteristics of music users, this paper establishes a music user fans model, and then uses some basic data (such as users' online records and base station information) for association matching to eliminate some interference factors. Especially with the gradual maturity of big data and block chain technology, we can make full use of block chain technology to solve the problem Research on music fans, finally get the music user list, provide accurate data support for product innovation and marketing strategy.
引用
收藏
页码：150 / 154
页数：5
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