{"title":"Interactions Between Learning and Broadcasting in Wireless Recommendation Systems","authors":"Linqi Song, C. Fragouli, D. Shah","doi":"10.1109/ISIT.2019.8849556","DOIUrl":null,"url":null,"abstract":"We consider recommendation systems that need to operate under wireless bandwidth constraints, which is measured as the number of broadcast transmissions. We demonstrate a (tight for some instances) tradeoff between regret and bandwidth for wireless recommendations formulated in a contextual multiarmed bandit framework.","PeriodicalId":6708,"journal":{"name":"2019 IEEE International Symposium on Information Theory (ISIT)","volume":"10 1","pages":"2549-2553"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Symposium on Information Theory (ISIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2019.8849556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
We consider recommendation systems that need to operate under wireless bandwidth constraints, which is measured as the number of broadcast transmissions. We demonstrate a (tight for some instances) tradeoff between regret and bandwidth for wireless recommendations formulated in a contextual multiarmed bandit framework.
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