{"title":"基于机器学习的移动APP广告转化率预测","authors":"Juan Liang, Jiapeng Xiu","doi":"10.1109/CYBERC.2018.00058","DOIUrl":null,"url":null,"abstract":"With the rapid development of smart phones, mobile advertising has taken up more than half of the advertising market and has great potential in the future. At present, there are many mature researches on the conversion rate of search advertising, but few studies have been done on the conversion rate of mobile APP advertising. This paper studies the preliminary data of Tencent's first social advertising algorithm competition and provides a method for prediction of mobile APP advertising conversion rate based on machine learning.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Prediction of Mobile APP Advertising Conversion Rate Based on Machine Learning\",\"authors\":\"Juan Liang, Jiapeng Xiu\",\"doi\":\"10.1109/CYBERC.2018.00058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of smart phones, mobile advertising has taken up more than half of the advertising market and has great potential in the future. At present, there are many mature researches on the conversion rate of search advertising, but few studies have been done on the conversion rate of mobile APP advertising. This paper studies the preliminary data of Tencent's first social advertising algorithm competition and provides a method for prediction of mobile APP advertising conversion rate based on machine learning.\",\"PeriodicalId\":282903,\"journal\":{\"name\":\"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CYBERC.2018.00058\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERC.2018.00058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of Mobile APP Advertising Conversion Rate Based on Machine Learning
With the rapid development of smart phones, mobile advertising has taken up more than half of the advertising market and has great potential in the future. At present, there are many mature researches on the conversion rate of search advertising, but few studies have been done on the conversion rate of mobile APP advertising. This paper studies the preliminary data of Tencent's first social advertising algorithm competition and provides a method for prediction of mobile APP advertising conversion rate based on machine learning.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
