A Learning System for Selective Dissemination of Information
نویسندگان
چکیده
New methods and new systems are needed to lter or to selectively distribute the increasing volume of electronic information being produced nowadays. An e ective information ltering system is one that provides the exact information that ful lls a user's interest with the minimum e ort by the user to describe it. Such a system will have to be adaptive to the user changing interest. In this paper we present a learning system for information ltering and selective information dissemination. The learning algorithm is described and the e ectiveness of the system is evaluated in a true information ltering style.
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