北京大学学报：自然科学版2012，Vol.48Issue(1)：29-36,8.
基于日志挖掘的高校用户期刊数据库检索行为研究
Study on Journal Database Retrieve Behavior of University Users Based on Log Mining
摘要
Abstract
Based on a large Chinese journals database query log,this paper analyzed the basic features of academic database using behavior,including user access time distribution,special retrieval using proportion,as well as key words length distribution.Furthermore,the search strategy of different universities users was also analyzed.It is found that,according to users from different types of universities（science and engineering,normal,agriculture and forestry,medicine）,there is a corresponding difference in search strategy;but as to users from universities of different educational levels（985 project,211 project,etc）,the differences in search strategies do not exist.Finally,by judging the IP address,the paper extracted users＇ gender,profession,education level and other demographic variables.The authors analyzed the influence of these variables on their search behaviors,and proposed a factor model of university users＇ search strategies.关键词
日志挖掘/检索行为/学术期刊数据库/高校用户/人类信息行为Key words
log mining/search behavior/academic journals database/university users/human information behavior（HIB）分类
社会科学引用本文复制引用
王建冬,王继民..基于日志挖掘的高校用户期刊数据库检索行为研究[J].北京大学学报：自然科学版,2012,48(1):29-36,8.基金项目
国家社会科学基金 （）
北京大学前瞻性研究课题“基于网络使用的中文科技期刊及论文评价机制和方法研究”资助 （）
