通过检索行为理解读者科技信息需求——深度日志分析方法实践研究

Research on the Readers Demand of Scientific and Technical Information Based on Retrieval Behavior

文章依托某大型信息资源服务网站,搜集用户信息行为日志,在一般日志分析法的基础上,结合行为关联、词表关联、IP关联等手段进行深度日志分析,挖掘用户信息需求,获取用户需求的满足度。这对信息资源采购和组织工作能够起到检验和优化作用,对提升用户信息获取率和个性化推送服务水平等方面提供指导作用。

Based on a large-scale information resource service website,this paper collects the information behavior log of users. On the basis of the general log analysis,the paper carries on the methods of behavior association,glossary association and IP association for deep log analysis,which in order to mine user information demand and obtain the satisfaction degree of user demand. It is helpful for testing and optimizing the procurement and organization work of information resource,and providing guidance to increase the acquisition ratio of user information and level of personalized pushing service as well.