基于日志分析的图书馆主页网站用户行为研究被引量：7

Study of Users' Behavior for Library Website Based on Log Analysis

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摘要理解用户行为模式对于系统减少资源消耗以及提高系统的可用性有着极其重要的作用[1]。本文基于用户行为的研究方法,针对某高校用户服务器端日志数据,主要介绍一种基于字典树算法以及关联性规则等方式,然后通过该算法获取用户对网站资源的频繁访问集合,结合用户使用方式,获取用户行为模式。通过研究用户行为模式,结合相关网站建设案例,提出相关优化网站的建议,来达到优化网站资源,结合用户行为进行个性化网站建设的目的。 The understanding of the pattern of users＇ behavior plays al＇t important role in reducing the cost of the system and improving the availability of it. The article mainly introduces a method based on FP-tree and association rules, which aims at getting the frequent patterns according to the data of college library. By combining the related samples and the patterns, the author puts forward some advice to optimize the structure of web and resources to realize personalized service.

作者荣国婷罗勇孙建军

机构地区南京大学信息管理学院中国科学技术情报研究所

出处《图书馆杂志》 CSSCI 北大核心 2015年第7期59-63,共5页 Library Journal

基金中国科学技术情报研究所课题项目"大数据环境下的人机交互研究"系列成果之一

关键词日志分析 FP-tree用户行为个性化服务 Log analysis, FP-tree, User behavior, Personalized service

分类号 G250.7 [文化科学—图书馆学]

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