A Multiarmed Bandit Approach for House Ads Recommendations

Mark. Sci. Pub Date : 2022-07-14 DOI:10.2139/ssrn.4107976
Nicolas Aramayo, Mario Schiappacasse, M. Goic
{"title":"A Multiarmed Bandit Approach for House Ads Recommendations","authors":"Nicolas Aramayo, Mario Schiappacasse, M. Goic","doi":"10.2139/ssrn.4107976","DOIUrl":null,"url":null,"abstract":"A multiarmed bandit approach that uses a deep neural network to decide personalized recommendations for display in the homepage of an online retailer.","PeriodicalId":423558,"journal":{"name":"Mark. Sci.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mark. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.4107976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

A multiarmed bandit approach that uses a deep neural network to decide personalized recommendations for display in the homepage of an online retailer.
一个多武装的强盗方法的房屋广告建议
一种多武装强盗方法,使用深度神经网络来决定在在线零售商的主页上显示的个性化推荐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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