AI赋能的图书馆用户兴趣画像构建与精准推送服务研究

Research on the Construction of AI-powered Library’s User Interest Profile and the Precise Push Service

用户画像是大数据时代用户属性表征的一种方法,能够多维度、全方位揭示用户特征。分析了人工智能技术应用优势与应用逻辑,基于精准推送服务内涵要求以及用户兴趣画像的优势特点,构建了多维标签融合的用户兴趣画像与图书馆精准推送服务模型,并提出了柔性定制型以及深度交互式两种精准推送服务策略,以期为图书馆开展精准推送服务工作提供参考。

User profile is a method for representing user attribute in the era of big data,which can reveal users’characteristics in a multi-dimensional and all-round way.This paper analyzes the application advantage and application logic of AI(artificial intelligence)technology,and based on the connotation requirements of precise push service and the advantages and characteristics of user interest profile,constructs a user interest profile of multi-dimensional label fusion and library’s precise push service model,and puts forward two precise push service strategies of flexible customization and deep interaction,in order to provide reference for the library to carry out precise push service.