L. Birnbaum, Miriam L. Boon, Scott Bradley, Jennifer Wilson
{"title":"新闻背景项目","authors":"L. Birnbaum, Miriam L. Boon, Scott Bradley, Jennifer Wilson","doi":"10.1145/2732158.2732178","DOIUrl":null,"url":null,"abstract":"We describe intelligent information technologies designed to automatically provide both journalists and ordinary newsreaders with a broad range of the contextual information they need in order to better understand news stories, presented in an immediate and compelling fashion. These systems automatically identify, select, and present appropriate contextual information based on the story a user is currently viewing. Our experiences in building a number of specific systems of this kind have led to the creation of a general architecture and platform for developing such applications. These systems interact with news consumers directly through mechanisms such as browser extensions.","PeriodicalId":177570,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The News Context Project\",\"authors\":\"L. Birnbaum, Miriam L. Boon, Scott Bradley, Jennifer Wilson\",\"doi\":\"10.1145/2732158.2732178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe intelligent information technologies designed to automatically provide both journalists and ordinary newsreaders with a broad range of the contextual information they need in order to better understand news stories, presented in an immediate and compelling fashion. These systems automatically identify, select, and present appropriate contextual information based on the story a user is currently viewing. Our experiences in building a number of specific systems of this kind have led to the creation of a general architecture and platform for developing such applications. These systems interact with news consumers directly through mechanisms such as browser extensions.\",\"PeriodicalId\":177570,\"journal\":{\"name\":\"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion\",\"volume\":\"96 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2732158.2732178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2732158.2732178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We describe intelligent information technologies designed to automatically provide both journalists and ordinary newsreaders with a broad range of the contextual information they need in order to better understand news stories, presented in an immediate and compelling fashion. These systems automatically identify, select, and present appropriate contextual information based on the story a user is currently viewing. Our experiences in building a number of specific systems of this kind have led to the creation of a general architecture and platform for developing such applications. These systems interact with news consumers directly through mechanisms such as browser extensions.
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