大数据视域下智慧图书馆用户画像研究

Research on User Portrait of Smart Library from the Perspective of Big Data

用户画像是真实用户的虚拟代表,是大数据时代智慧图书馆用户研究的有力工具,但目前国内图书馆界对用户画像的认识还不够全面深入。为了更加全面清晰地认识用户画像和更好地为智慧图书馆建设服务,本文在厘清用户画像相关概念的基础上,将智慧图书馆用户画像划分为面向设计的图书馆用户画像与面向营销的图书馆用户画像,并介绍了二者在内涵、特征、创建方法和创建步骤上的区别与联系。面向设计的用户画像将用户特征植入独特的人物角色并扎根于团队成员的产品设计中,有利于智慧图书馆产品优化和服务创新;面向营销的用户画像通过与推荐算法结合运用,可以完成智慧图书馆内“书”与“读者”的精确匹配。图3。表4。参考文献39。

User Portrait is a virtual representation of target users and a powerful tool for user research of smart library in the era of big data.At present,the understanding of user portrait in the domestic library community is not so comprehensive and in-depth.In order to form a comprehensive and clear understanding of user portrait and better serve the construction of smart library,on the basis of clarifying the related concepts of user portrait,this paper puts forward that user portrait of smart library can be divided into design-oriented library user portrait and marketing-oriented library user portrait,and introduces the differences and relations of the connotation,characteristics,creation methods and steps between them.Design-oriented user portrait,which embeds user characteristics into unique personas and takes root in the product design of team members,is conducive to smart library product optimization and service innovation;marketing-oriented user portrait,combined with recommendation algorithm,can complete the accurate matching of“books”and“readers”in smart library.3 figs.4 tabs.39 refs.