谷歌广告自主智能系统的开发

Burcu Kuleli Pak, Bora Mocan, Sema Yıldız Yoldaş, Neşe Baz
{"title":"谷歌广告自主智能系统的开发","authors":"Burcu Kuleli Pak, Bora Mocan, Sema Yıldız Yoldaş, Neşe Baz","doi":"10.1109/ICDIM.2018.8847128","DOIUrl":null,"url":null,"abstract":"Digital marketing sector is an expanding sector with increasing number of customers, product and service types. Dynamic structure of websites, rapid changes in stock levels in ecommerce websites and dependency of existing systems to humans causes digital marketing agencies to require autonomous systems for customer account management. So the aim of this study is developing an autonomous intelligent system that operates integrated with Google Ads platform. The developed system makes optimization in return-on-investment, conversions, advertising texts and profit using Ackermann Feedback Control Algorithm and State Transition Matrices.","PeriodicalId":120884,"journal":{"name":"2018 Thirteenth International Conference on Digital Information Management (ICDIM)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of Autonomous Intelligent System for Google Ads\",\"authors\":\"Burcu Kuleli Pak, Bora Mocan, Sema Yıldız Yoldaş, Neşe Baz\",\"doi\":\"10.1109/ICDIM.2018.8847128\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital marketing sector is an expanding sector with increasing number of customers, product and service types. Dynamic structure of websites, rapid changes in stock levels in ecommerce websites and dependency of existing systems to humans causes digital marketing agencies to require autonomous systems for customer account management. So the aim of this study is developing an autonomous intelligent system that operates integrated with Google Ads platform. The developed system makes optimization in return-on-investment, conversions, advertising texts and profit using Ackermann Feedback Control Algorithm and State Transition Matrices.\",\"PeriodicalId\":120884,\"journal\":{\"name\":\"2018 Thirteenth International Conference on Digital Information Management (ICDIM)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Thirteenth International Conference on Digital Information Management (ICDIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDIM.2018.8847128\",\"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 Thirteenth International Conference on Digital Information Management (ICDIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIM.2018.8847128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着客户数量、产品和服务类型的增加,数字营销领域是一个不断扩大的领域。网站的动态结构、电子商务网站库存水平的快速变化以及现有系统对人类的依赖,导致数字营销机构需要自主系统来管理客户账户。因此,本研究的目的是开发一个与谷歌广告平台集成运行的自主智能系统。该系统利用Ackermann反馈控制算法和状态转移矩阵对投资回报率、转化率、广告文本和利润进行优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Autonomous Intelligent System for Google Ads
Digital marketing sector is an expanding sector with increasing number of customers, product and service types. Dynamic structure of websites, rapid changes in stock levels in ecommerce websites and dependency of existing systems to humans causes digital marketing agencies to require autonomous systems for customer account management. So the aim of this study is developing an autonomous intelligent system that operates integrated with Google Ads platform. The developed system makes optimization in return-on-investment, conversions, advertising texts and profit using Ackermann Feedback Control Algorithm and State Transition Matrices.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信