文章通过对情报学中信息推荐产生的背景、研究现状进行探讨,分析了目前信息推荐存在的问题和不足,并且针对信息获取和理解、信息交流和共享、用户兴趣获取与理解、用户评价反馈、专业化程度等不足,提出改进策略,进而利用情报学中的社会网络视角,对信息推荐进行解读,并且构建了社会化信息推荐模型。 In this paper, we discuss the background and current situation of information recommendation in information science, analyze the problems and shortcomings of current information recommendation, and analyze the information acquisition and understanding, information exchange and sharing, user interest acquisition and understanding, user feedback, The degree of specialization and so on, puts forward the improvement strategy, and then makes use of the perspective of social network in information science to interpret the information recommendation and construct the social information recommendation model.