摘要
数字图书馆网站服务系统中存有大量有关用户访问信息的日志文件,通过对这些日志文件的挖掘可以得到有关数字图书馆资源利用情况和用户兴趣的信息。但实际上,这些日志文件很少被利用。针对这一现状,作者对日志文件进行挖掘试验分析,得出用户的频繁下载集合,以用于推荐链接和评价数据库资源。
There are a lot of log files in the website service system of digital library, which can be used to mine informations on resources usage and user interest. However, these log files are hardly used. In this paper, the author conducts mining experiment on log files and gets the frequent download set of users, which can be used to recommend finks and resource evaluation.
出处
《图书情报工作》
CSSCI
北大核心
2007年第5期138-141,共4页
Library and Information Service
