{"title":"如何向电视观众提供推荐?","authors":"Sue Hessey, Ian Matthews","doi":"10.1109/ICIN.2010.5640912","DOIUrl":null,"url":null,"abstract":"An overload of content choices on the TV and online is a modern phenomenon. Steering viewers towards content they would like is a challenge for any video-on-demand provider - especially for those who derive revenue from downloaded content. Making the user experience in selecting recommendations engaging and easy is also a challenge. This paper covers research into testing the presentation of recommended items to viewers in a variety of ways to establish best and worst features, and to inform user interface design decisions of future IPTV recommendations services.","PeriodicalId":173857,"journal":{"name":"2010 14th International Conference on Intelligence in Next Generation Networks","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"How can recommendations be presented to TV viewers?\",\"authors\":\"Sue Hessey, Ian Matthews\",\"doi\":\"10.1109/ICIN.2010.5640912\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An overload of content choices on the TV and online is a modern phenomenon. Steering viewers towards content they would like is a challenge for any video-on-demand provider - especially for those who derive revenue from downloaded content. Making the user experience in selecting recommendations engaging and easy is also a challenge. This paper covers research into testing the presentation of recommended items to viewers in a variety of ways to establish best and worst features, and to inform user interface design decisions of future IPTV recommendations services.\",\"PeriodicalId\":173857,\"journal\":{\"name\":\"2010 14th International Conference on Intelligence in Next Generation Networks\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 14th International Conference on Intelligence in Next Generation Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIN.2010.5640912\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 14th International Conference on Intelligence in Next Generation Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIN.2010.5640912","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How can recommendations be presented to TV viewers?
An overload of content choices on the TV and online is a modern phenomenon. Steering viewers towards content they would like is a challenge for any video-on-demand provider - especially for those who derive revenue from downloaded content. Making the user experience in selecting recommendations engaging and easy is also a challenge. This paper covers research into testing the presentation of recommended items to viewers in a variety of ways to establish best and worst features, and to inform user interface design decisions of future IPTV recommendations services.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
