{"title":"使用通配符处理无处不在的个性化信息","authors":"Xindong Wu","doi":"10.1109/GRC.2009.5255135","DOIUrl":null,"url":null,"abstract":"With the rapid development of computer, communication and networking technologies, Web information resources are becoming increasingly rich, and on-line applications are required to be more and more flexible. Therefore, a new generation of information models and mechanisms for these information processing requirements has become a major challenge. This talk will discuss four scientific problems in ubiquitous personalized information processing with wildcards*, including demand driven aggregation of information resources, mining and analysis for aggregated information, user interest modeling, and system security. With these four components, a pervasive and personalized information processing mechanism can be constructed for dynamically organizing and optimizing multiple information resources, implementing a transparent and scalable information processing architecture, and flexibly building information and analysis services to meet various user demands.","PeriodicalId":388774,"journal":{"name":"2009 IEEE International Conference on Granular Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ubiquitous personalized information processing with wildcards\",\"authors\":\"Xindong Wu\",\"doi\":\"10.1109/GRC.2009.5255135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of computer, communication and networking technologies, Web information resources are becoming increasingly rich, and on-line applications are required to be more and more flexible. Therefore, a new generation of information models and mechanisms for these information processing requirements has become a major challenge. This talk will discuss four scientific problems in ubiquitous personalized information processing with wildcards*, including demand driven aggregation of information resources, mining and analysis for aggregated information, user interest modeling, and system security. With these four components, a pervasive and personalized information processing mechanism can be constructed for dynamically organizing and optimizing multiple information resources, implementing a transparent and scalable information processing architecture, and flexibly building information and analysis services to meet various user demands.\",\"PeriodicalId\":388774,\"journal\":{\"name\":\"2009 IEEE International Conference on Granular Computing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Granular Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GRC.2009.5255135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Granular Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GRC.2009.5255135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ubiquitous personalized information processing with wildcards
With the rapid development of computer, communication and networking technologies, Web information resources are becoming increasingly rich, and on-line applications are required to be more and more flexible. Therefore, a new generation of information models and mechanisms for these information processing requirements has become a major challenge. This talk will discuss four scientific problems in ubiquitous personalized information processing with wildcards*, including demand driven aggregation of information resources, mining and analysis for aggregated information, user interest modeling, and system security. With these four components, a pervasive and personalized information processing mechanism can be constructed for dynamically organizing and optimizing multiple information resources, implementing a transparent and scalable information processing architecture, and flexibly building information and analysis services to meet various user demands.