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首页> 外文期刊>International Journal of Database Management Systems >Effective Personalized Web Mining by Utilizing the Most Utilized Data
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Effective Personalized Web Mining by Utilizing the Most Utilized Data

机译:通过利用利用率最高的数据进行有效的个性化Web挖掘

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Looking into the growth of information in the web it is a very tedious process of getting the exact information the user is looking for. Many search engines generate user profile related data listing. This paper involves one such process where the rating is given to the link that the user is clicking on. Rather than avoiding the uninterested links both interested links and the uninterested links are listed. But sorted according to the weightings given to each link by the number of visit made by the particular user and the amount of time spent on the particular link
机译:调查网络中信息的增长,这是获取用户正在寻找的确切信息的非常繁琐的过程。许多搜索引擎会生成与用户个人资料相关的数据列表。本文涉及一个这样的过程,其中将评级授予用户单击的链接。而不是避免不感兴趣的链接,列出了感兴趣的链接和不感兴趣的链接。但是根据给定每个链接的权重,特定用户的访问次数和在特定链接上花费的时间量进行排序

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