{"title":"乐迷用户大数据与区块链挖掘方法研究","authors":"Can Wang","doi":"10.1109/SmartBlock52591.2020.00046","DOIUrl":null,"url":null,"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.","PeriodicalId":443121,"journal":{"name":"2020 3rd International Conference on Smart BlockChain (SmartBlock)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Big Data and Blockchain Mining Methods for Music Fan Users\",\"authors\":\"Can Wang\",\"doi\":\"10.1109/SmartBlock52591.2020.00046\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":443121,\"journal\":{\"name\":\"2020 3rd International Conference on Smart BlockChain (SmartBlock)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 3rd International Conference on Smart BlockChain (SmartBlock)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SmartBlock52591.2020.00046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Conference on Smart BlockChain (SmartBlock)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartBlock52591.2020.00046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Big Data and Blockchain Mining Methods for Music Fan Users
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.
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