摘要
[目的 /意义]挖掘高校图书馆研究间的用户行为规律特征,为研究间设施改进、精准服务提供数据支撑。[方法/过程]利用北京师范大学图书馆研究间系统日志数据,参考用户画像的研究思路,对数据进行多维度行为建模,探索影响用户行为的主要因素,并建立用户原型。[结果/结论]行为分析发现,学科特点因素和学生年级是影响研究间使用的重要因素;研究间预约热度与采光条件和相对位置显著相关;研究间违规使用行为与用户所在年级和学科有一定的关联;研究间预约与绩效之间存在一定相关性。多维度行为分析可为改进设施、建立用户原型提供数据支撑。
[Purpose/Significance] This paper aimed to provide data support to improve facilities and precise services of study rooms in university library by analyzing user behaviors. [Method/Process] System log of Beijing Normal University Library was collected,and further analyzed with Persona related technique to get multi-dimensional modeling results,to analyze major factors affecting user behaviors and to build user prototypes. [Results/Conclusions] Via the behavior analysis,it showed that the utility of study rooms was related to classes of disciplines and the grades of students,the popularity of study rooms was related to their lighting conditions and relative locations,noncompliance with requirements was related to both the grade and discipline factors,and that reservation data was somewhat related to scholarships. The multi-dimensional user behavior analysis method may provide data for improving facilities and building user prototypes.
出处
《现代情报》
CSSCI
2018年第1期115-120,共6页
Journal of Modern Information
关键词
数据挖掘
研究间
关联分析
多维度
用户行为分析
用户画像
data mining
study rooms
association analysis
multi-dimensional
user behavior analysis
persona
