Mining navigation history for recommendation
Mining navigation history for recommendation
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DOI：
10.1145/325737.325796
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发表时间：
2000-01
期刊：
影响因子：
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通讯作者：
Xiaobin Fu;Jay Budzik;K. Hammond
中科院分区：
文献类型：
--
作者：
Xiaobin Fu;Jay Budzik;K. Hammond
虽然用户的导航历史记录包含了大量关于网页之间和用户之间关系的隐藏信息，但这些信息通常不会被利用。隐藏在历史中的信息可以是帮助用户更好地浏览Web的宝贵知识来源。我们提出了一个系统，积极监测和跟踪用户的导航。一旦用户的导航历史被捕获，我们应用数据挖掘技术来发现隐藏的知识包含在历史中。然后，这些知识被用来向用户建议可能感兴趣的网页。
Although a user's navigation history contains a lot of hidden information about the relationship between web pages and between users, this information is usually not exploited. The information hidden in the history can be an invaluable source of knowledge in assisting a user to better surf the Web. We presented a system which actively monitors and tracks a user's navigation. Once a user's navigation history is captured, we apply data mining techniques to discover the hidden knowledge contained in the history. The knowledge is then used to suggest potentially interesting web pages to users.