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基于用户访问模式挖掘的网页实时推荐研究 被引量:12

Study of Real-time Web Pages Recommendation Based on Mining the Users' Access Patterns
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摘要 文中将数据挖掘技术用于Web日志文件的挖掘,提出一个简单高效的关联规则和序列模式挖掘算法Predictor,该算法具有较快的响应速度,可以满足实时页面推荐的需要,同时该算法还可以进行增量挖掘。 Data mining technology was used to mine web log file in this paper and a simple and efficient algorithm called predictor was also presented. The algorithm possesses preferable speed of response to satisfy the need of real time web page recommendation and also can be used to incremental mining.
作者 张慧颖 梁伟
出处 《计算机应用》 CSCD 北大核心 2004年第6期70-73,共4页 journal of Computer Applications
关键词 WEB使用挖掘 会话识别 关联规则 序列模式 Web usage mining session identification association rule sequence pattern
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