基于信息Agent通知站点内容的有价值变化 |
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引用本文: | 路海明,卢增祥,李衍达.基于信息Agent通知站点内容的有价值变化[J].计算机科学,2000,27(9):75-77. |
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作者姓名: | 路海明 卢增祥 李衍达 |
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作者单位: | 清华大学,自动化系,北京,100084 |
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基金项目: | 本文研究为211工程资助. |
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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.
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关 键 词: | URL 站点 Multi-Agent 信息 价值 内容 变化 |
Notify the Interesting Web Changtc-Based on lnformatinn Agent |
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Abstract: | Personal lnfromation 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 sorer 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 informatioin 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. |
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Keywords: | Information Agent Collaboration filtering Bookmark service Internet Machine learning |
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