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娱乐门户网站个性化推荐服务研究

The Research on an Entertainment Website of Personalized Recommendation Service
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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。 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.
作者 宁小红
机构地区 浙江师范大学杭州校区
出处 《电脑与电信》 2007年第3期66-68,共3页 Computer & Telecommunication
关键词 用户偏爱度 WEB挖掘 WEB使用挖掘 个性化推荐 user preference web mining web usage mining personalized recommendation
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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电脑与电信
2007年 第3期

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