{"title":"动态在线新闻源中的主题检测和兴趣跟踪","authors":"Andrew J. Kurtz, Javed Mostafa","doi":"10.1109/JCDL.2003.1204851","DOIUrl":null,"url":null,"abstract":"Digital libraries in the news domain may contain frequently updated data. Providing personalized access to such dynamic resources is an important goal. We investigate the area of filtering online dynamic news sources based on personal profiles. We experimented with an intelligent news-sifting system that tracks topic development in a dynamic online news source. Vocabulary discovery and clustering are used to expose current news topics. User interest profiles, generated from explicit and implicit feedback are used to customize the news retrieval system's interface.","PeriodicalId":248854,"journal":{"name":"2003 Joint Conference on Digital Libraries, 2003. Proceedings.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Topic detection and interest tracking in a dynamic online news source\",\"authors\":\"Andrew J. Kurtz, Javed Mostafa\",\"doi\":\"10.1109/JCDL.2003.1204851\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital libraries in the news domain may contain frequently updated data. Providing personalized access to such dynamic resources is an important goal. We investigate the area of filtering online dynamic news sources based on personal profiles. We experimented with an intelligent news-sifting system that tracks topic development in a dynamic online news source. Vocabulary discovery and clustering are used to expose current news topics. User interest profiles, generated from explicit and implicit feedback are used to customize the news retrieval system's interface.\",\"PeriodicalId\":248854,\"journal\":{\"name\":\"2003 Joint Conference on Digital Libraries, 2003. Proceedings.\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2003 Joint Conference on Digital Libraries, 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JCDL.2003.1204851\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 Joint Conference on Digital Libraries, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCDL.2003.1204851","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Topic detection and interest tracking in a dynamic online news source
Digital libraries in the news domain may contain frequently updated data. Providing personalized access to such dynamic resources is an important goal. We investigate the area of filtering online dynamic news sources based on personal profiles. We experimented with an intelligent news-sifting system that tracks topic development in a dynamic online news source. Vocabulary discovery and clustering are used to expose current news topics. User interest profiles, generated from explicit and implicit feedback are used to customize the news retrieval system's interface.
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