{"title":"线性卫星电视推荐系统:可行吗?","authors":"A. Gazdar, M. Kefi","doi":"10.1109/ICCAIS48893.2020.9096718","DOIUrl":null,"url":null,"abstract":"A little attention has been made to Recommender Systems (RS) for TV services broadcast through satellites due to the one-way data flow nature of the linear satellite TV. Nevertheless, the emergence of new Internet enabled TV Set-Top-Box (STB) with an embedded open source operating system has partially overcame this shortage and has encouraged implementing new kinds of applications for those STBs. In this context, we discuss in this paper the feasability of a Recommender System for the linear satellite based TV which suggests a dynamic list of services that may interest the TV viewer based on his profile (age, gender, etc) with regards to the ongoing audience rate of users having the same profile as him.","PeriodicalId":422184,"journal":{"name":"2020 3rd International Conference on Computer Applications & Information Security (ICCAIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Recommender System for Linear Satellite TV: Is It Possible?\",\"authors\":\"A. Gazdar, M. Kefi\",\"doi\":\"10.1109/ICCAIS48893.2020.9096718\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A little attention has been made to Recommender Systems (RS) for TV services broadcast through satellites due to the one-way data flow nature of the linear satellite TV. Nevertheless, the emergence of new Internet enabled TV Set-Top-Box (STB) with an embedded open source operating system has partially overcame this shortage and has encouraged implementing new kinds of applications for those STBs. In this context, we discuss in this paper the feasability of a Recommender System for the linear satellite based TV which suggests a dynamic list of services that may interest the TV viewer based on his profile (age, gender, etc) with regards to the ongoing audience rate of users having the same profile as him.\",\"PeriodicalId\":422184,\"journal\":{\"name\":\"2020 3rd International Conference on Computer Applications & Information Security (ICCAIS)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 3rd International Conference on Computer Applications & Information Security (ICCAIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAIS48893.2020.9096718\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Conference on Computer Applications & Information Security (ICCAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAIS48893.2020.9096718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Recommender System for Linear Satellite TV: Is It Possible?
A little attention has been made to Recommender Systems (RS) for TV services broadcast through satellites due to the one-way data flow nature of the linear satellite TV. Nevertheless, the emergence of new Internet enabled TV Set-Top-Box (STB) with an embedded open source operating system has partially overcame this shortage and has encouraged implementing new kinds of applications for those STBs. In this context, we discuss in this paper the feasability of a Recommender System for the linear satellite based TV which suggests a dynamic list of services that may interest the TV viewer based on his profile (age, gender, etc) with regards to the ongoing audience rate of users having the same profile as him.
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