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ADAPTIVE AND ACTIVE COMPUTING PARADIGM FOR PERSONALIZED INFORMATION SERVICE IN DISTRIBUTED HETERONGEOUS ENVIRONMENT
引用本文:马兆丰,冯博琴. ADAPTIVE AND ACTIVE COMPUTING PARADIGM FOR PERSONALIZED INFORMATION SERVICE IN DISTRIBUTED HETERONGEOUS ENVIRONMENT[J]. 西安交通大学学报(英文版), 2003, 15(2)
作者姓名:马兆丰  冯博琴
作者单位:Department of Computer Science and Technology,Xi’an Jiaotong University,Department of Computer Science and Technology,Xi’an Jiaotong University Xi’an 710049,China,Xi’an 710049,China
摘    要:Pull basedinformationservicesuchassearchengineandfull textretrievalserveusersinare trieval on demandmodewhenuserneedtofindwhathe/shewants .Howeverwiththeexplosivegrowthoftheinternettechniques,locatingrelevantinformationistimeconsumingandexpensive ,pushtechnologypromisesaproperwaytorelieveusersfromthedrudgeryofinformationsearching .Somecurrentcommercesoftwareor prototypesystemssuchasPointCastNetwork ,CNNNewswatch ,SmartPush,ConCallserveusersinapersonalizedway[1 3 ] ,whilerecommendationsyst…


ADAPTIVE AND ACTIVE COMPUTING PARADIGM FOR PERSONALIZED INFORMATION SERVICE IN DISTRIBUTED HETERONGEOUS ENVIRONMENT
Abstract:To solve the problem that traditional pull-based information service can't meet the demand of long-term users getting domain information timely and properly, an adaptive and active computing paradigm (AACP) for personalized information service in heterogeneous environment is proposed to provide user-centered, push-based higsh quality information service timely in a proper way, the motivation of which is generalized as R4 Service: the right information at the right time in the right way to the right person, upon which formalized algorithms framework of adaptive user profile management, incremental information retrieval, information filtering, and active delivery mechanism are discussed in details. The AACP paradigm serves users in a push-based, event-driven, interest-related, adaptive and active information service mode, which is useful and promising for long-term user to gain fresh information instead of polling from kinds of information sources.
Keywords:adaptive and active computing paradigm  user profiling  incremental information retrieval  information filtering  active information delivery.
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