| 基于频繁下载集的数字图书馆日志挖掘实验 |
| |
| 引用本文： | 吕娜.基于频繁下载集的数字图书馆日志挖掘实验[J].图书情报工作,2007,51(5):138-141. |
| |
| 作者姓名： | 吕娜 |
| |
| 作者单位： | 北京理工大学图书馆 |
| |
| 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。
|
| 关 键 词： | 数据挖掘 数字图书馆 日志挖掘 |
| 收稿时间： | 2006-10-31 |
| 修稿时间： | 2006-10-302006-12-05 |
Experiment of Log Mining in Digital Library Based on Frequent Download Set |
| |
| Lv Na.Experiment of Log Mining in Digital Library Based on Frequent Download Set[J].Library and Information Service,2007,51(5):138-141. |
| |
| Authors: | Lv Na |
| |
| Institution: | Library of Beijing Institute of Technology, Beijing 100081 |
| |
| Abstract: | 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. |
| |
| Keywords: | digital library log mining frequent download set |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《图书情报工作》浏览原始摘要信息 |
| 点击此处可从《图书情报工作》下载免费的PDF全文 |
