资源发现系统的用户信息行为分析——以西交利物浦大学图书馆为例

摘要

以西交利物浦大学为例,围绕核心问题"资源发现系统中的用户信息行为"而展开研究,引入网络研究和大数据分析的手段,获取用户在资源发现系统中的信息行为活动后留下的大量数据,形成多维信息,客观地获取用户群体特征和面向系统的信息行为,以期从用户行为的视角出发,为图书馆资源整合和发现服务优化提供参考.%This paper is to explore discovery service users' information behavior by employing web analytics and big data approach.Taking Xi'an Jiaotong-Liverpool University as an example, massive data on how users access to discovery service and interact with the system have been captured in order to objectively generate multi-dimensional information and identify users' general characteristics of information behavior.The finding reveals user information preferences which can be provided references for library resource integration and discovery tool optimization.