摘要
对个性化服务技术中的用户识别、用户描述文件、个性化推荐技术、个性化服务系统的体系结构及目前的研究方向进行了概述。从实现角度详细讨论了3种个性化推荐技术。个性化服务具有针对性,它的目的就是为了使用户更好地找到需要的信息,通过从用户访问网站的历史记录中得到用户的个人信息,利用个性化推荐的方法将信息推荐给用户。个性化推荐避免用户陷入信息的海洋,提高用户查询效率,使得用户可以得到他们真正想得到的信息,避免繁多的人工搜索。
Some technologies related to personalization are introduaeed in this paper, which include the representation of user profile, the identification of users, the recommendation technologies, the frame of the system and some research directions for personalization . In addition , three recommendation technologies about how to implement personalization are discussed in detail. Personalization aims at everyone and is to help the users to find the information they needed;personalization gets users＇ information from the history of users＇ access,and commends the information to users by personalized recommendation technologies; personalized recommendation avoids users dropping into the large information,and improves the efficiency of finding information. The result is that users can get what they wanted, avoid more finding.
出处
《计算机技术与发展》
2006年第2期32-34,37,共4页
Computer Technology and Development
关键词
个性化
内容过滤
WEB日志
协作过滤
personalization
content filtering
Web log
eollabarative- filtering
作者简介
吴辉娟（1981-），女，河北栾城人，硕士研究生，研究方向为数据挖掘；
袁方，副教授，博士研究生，硕士生导师，研究方向为数据挖掘。
