| 基于Web使用挖掘的实时推荐技术 |
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| 引用本文： | 王霞俊.基于Web使用挖掘的实时推荐技术[J].常州轻工职业技术学院学报,2006(1). |
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| 作者姓名： | 王霞俊 |
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| 作者单位： | 江苏常州轻工职业技术学院 江苏常州213164 |
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| 摘 要： | 随着因特网的飞速发展,Web己成为人们获取信息的一个重要途径。然而由于Web信息的日益增长,搜索、浏览过程中总是会出现一些自己毫不关心的话题,为了满足不同背景、不同目的和不同时期的查询请求,提出了个性化实时推荐技术。本文就是利用Web使用挖掘技术来分析用户的浏览模式,根据用户的当前访问需要,自动实时地为用户提供推荐页面,实现个性化服务。
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| 关 键 词： | Web 数据挖掘 Web挖掘 Web日志 个性化推荐 |
Real Time Personalization Recommendation Technology Based on WebLog Usage Mining |
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| Authors: | Wang Xia-jun |
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| Institution: | Changzhou Institute of Light Industry technology Changzhou Jiangsu 213164 |
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| Abstract: | With the development of Internet rapidly, Web has become an important way that people obtain information .Because of the growth of Web information, how to search for what they want indeed is becoming a topic. In order to meet different backgrounds , different purposes and inquiry request of different periods, This paper have proposed recommending technology individualizedly in real time. This paper just utilizes WebLog Usage Mining technology to analyze the users' browsing modes; Then according to the needs of users' present visit , the system will offer the pages of recommending to the users automatically and real-timly, so realize the personalized service. |
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| Keywords: | Web data mining Web mining WebLogpersonalization recommendation |
| 本文献已被 CNKI 等数据库收录！ |
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