| 娱乐门户网站个性化推荐服务研究 |
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| 引用本文： | 宁小红. 娱乐门户网站个性化推荐服务研究[J]. 广东电脑与电讯, 2007, 0(3): 66-68 |
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| 作者姓名： | 宁小红 |
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| 作者单位： | 浙江师范大学杭州校区 浙江杭州310012 |
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| 摘 要： | 本文从娱乐门户网站的访问日志中挖掘出用户喜好的访问模式,分析得出用户偏爱度反相关于日志中时间距离,正相关于使用频度,并推导出用户偏爱度函数,从而以用户偏爱度来指导系统自动调整用户的显示界面和内容,并以管理子系统为例介绍实现智能的个性化推荐系统。
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| 关 键 词： | 用户偏爱度 Web挖掘 Web使用挖掘 个性化推荐 |
The Research on an Entertainment Website of Personalized Recommendation Service |
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| Ning Xiaohong. The Research on an Entertainment Website of Personalized Recommendation Service[J]. Computer & Telecommunication, 2007, 0(3): 66-68 |
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| Authors: | Ning Xiaohong |
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| Abstract: | The article explores the users'popular accessing mode by studying the accessing logs of entertainment website. It shows that there is a negative correlation between the users'preference and the distance of accessing log's time. Furthermore,there is a positive correlation between the users'preference and accessing frequency. It deduces the function of users'preference, which will guide the system to regulate the users'interface and content automatically. Taking the management of subsystem for example, the article introduces the intelligent personalized recommendation system. |
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| Keywords: | user preference web mining web usage mining personalized recommendation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
