{"title":"使用深度学习克服客户数据传输中的隐私和可扩展性问题","authors":"Piyush Anand, Clarence Lee","doi":"10.1287/mksc.2022.1365","DOIUrl":null,"url":null,"abstract":"This paper demonstrates that marketers can leverage recent advances in machine learning, GANs, to tackle customer data transfer while preserving privacy.","PeriodicalId":423558,"journal":{"name":"Mark. Sci.","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Deep Learning to Overcome Privacy and Scalability Issues in Customer Data Transfer\",\"authors\":\"Piyush Anand, Clarence Lee\",\"doi\":\"10.1287/mksc.2022.1365\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper demonstrates that marketers can leverage recent advances in machine learning, GANs, to tackle customer data transfer while preserving privacy.\",\"PeriodicalId\":423558,\"journal\":{\"name\":\"Mark. Sci.\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mark. Sci.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1287/mksc.2022.1365\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mark. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1287/mksc.2022.1365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Deep Learning to Overcome Privacy and Scalability Issues in Customer Data Transfer
This paper demonstrates that marketers can leverage recent advances in machine learning, GANs, to tackle customer data transfer while preserving privacy.
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