{"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.
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