在线展示广告数据可视化分析

Ling Huang
{"title":"在线展示广告数据可视化分析","authors":"Ling Huang","doi":"10.1109/LDAV.2013.6675170","DOIUrl":null,"url":null,"abstract":"In recent years online display advertising has grown at a rapid pace. Genome from Yahoo! is the big data buying solution for online display advertising. The goal of our platform is to identify the best opportunity to display an ad to a user who is most likely to take a desired action. Our system contains websites which are visited by several million users per day. The number of attributes related to user events is also of the order of several thousand. Visual analysis has emerged as a powerful technique to facilitate demonstrating data, filtering extreme cases and outliers, exploiting data details, and identifying data analysis tasks. With respect to large-scale online data, the paper presents some use cases on visual analysis at Genome from Yahoo!","PeriodicalId":266607,"journal":{"name":"2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Visual analysis on online display advertising data\",\"authors\":\"Ling Huang\",\"doi\":\"10.1109/LDAV.2013.6675170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years online display advertising has grown at a rapid pace. Genome from Yahoo! is the big data buying solution for online display advertising. The goal of our platform is to identify the best opportunity to display an ad to a user who is most likely to take a desired action. Our system contains websites which are visited by several million users per day. The number of attributes related to user events is also of the order of several thousand. Visual analysis has emerged as a powerful technique to facilitate demonstrating data, filtering extreme cases and outliers, exploiting data details, and identifying data analysis tasks. With respect to large-scale online data, the paper presents some use cases on visual analysis at Genome from Yahoo!\",\"PeriodicalId\":266607,\"journal\":{\"name\":\"2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LDAV.2013.6675170\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LDAV.2013.6675170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

近年来,在线展示广告发展迅速。雅虎基因组!是在线展示广告的大数据购买解决方案。我们平台的目标是确定向最有可能采取预期行动的用户展示广告的最佳机会。我们的系统包含每天有数百万用户访问的网站。与用户事件相关的属性数量也有几千个之多。可视化分析已经成为一种强大的技术,可以方便地展示数据、过滤极端情况和异常值、利用数据细节以及识别数据分析任务。对于大规模的在线数据,本文介绍了雅虎基因组可视化分析的一些用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Visual analysis on online display advertising data
In recent years online display advertising has grown at a rapid pace. Genome from Yahoo! is the big data buying solution for online display advertising. The goal of our platform is to identify the best opportunity to display an ad to a user who is most likely to take a desired action. Our system contains websites which are visited by several million users per day. The number of attributes related to user events is also of the order of several thousand. Visual analysis has emerged as a powerful technique to facilitate demonstrating data, filtering extreme cases and outliers, exploiting data details, and identifying data analysis tasks. With respect to large-scale online data, the paper presents some use cases on visual analysis at Genome from Yahoo!
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
期刊最新文献
In-Situ visualization in fluid mechanics using Catalyst: A case study for Code Saturne Efficient range distribution query in large-scale scientific data Chiffchaff: Observability and analytics to achieve high availability Visualizing large-scale atomistic simulations in ultra-resolution immersive environments An interactive method for activity detection visualization
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1