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

Can Wang
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Abstract

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.
乐迷用户大数据与区块链挖掘方法研究
本文从乐迷分析入手,通过对音乐用户行为特征的分析,建立了音乐用户粉丝模型,然后利用一些基础数据(如用户上网记录、基站信息等)进行关联匹配,消除一些干扰因素。特别是随着大数据和区块链技术的逐渐成熟,我们可以充分利用区块链技术解决音乐粉丝问题的研究,最终获得音乐用户列表,为产品创新和营销策略提供精准的数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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