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机构地区:[1]清华大学自动化系,北京100084
出 处:《计算机科学》2000年第9期75-77,共3页Computer Science
基 金:211工程资助
摘 要:Personal Infromation Agent can provide interesting URL to the user. Based on Multi-Agentscollaboration,we can improve the recommendation quality. The Web's interesting change may be valu-able to the user. If a user visits the unchanged URL,it can be burdensome and wasteful. The Notifica-tion Agent can notify that some modification occurred. But the user may not want to know when the au-thor changed the font. We like an Agent that notices when interesting changes occurred. The informa-tioin Agent can use machine learning to detect interesting changes of URLs. According to the user'sfeedback, the Agent will take supervised learning. By propagating interesting changes, the Agent cantake collaboration filtering and improve the detection quality.Personal Infromation Agent can provide interesting URL to the user. Based on Multi-Agents collaboration,we can improve the recommendation quality. The Web's interesting change may be valuable to the user. If a user visits the unchanged URL,it can be burdensome and wasteful- The Notification Agent can notify that some modification occurred. But the user may not want to know when the author changed the font. We like an Agent that notices when interesting changes occurred. The informa-tioin Agent can use machine learning to detect interesting changes of URLs. According to the user's feedback, the Agent will take supervised learning. By propagating interesting changes. the Agent can take collaboration filtering and improve the detection quality.
关 键 词:URL 站点 MULTI-AGENT 信息 价值 内容 变化
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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