[目的/意义]为了挖掘用户数据背后隐藏的价值，全面了解用户需求，构建用户画像模型，为数字图书馆实现精准服务提供新动能。[方法/过程]针对数字图书馆用户画像的内涵及特征进行剖析，分析用户画像的数据来源及采集处理过程，提出数据驱动下用户画像数据化→标签化→关联化→可视化的驱动主路线，从自然维度、兴趣维度、社交维度，构建多维度、多层级、立体化的用户画像模型。[结果/结论]详细阐述数字图书馆用户画像模型的构建流程，设计用户画像的框架模型，并将用户画像应用于数字图书馆的精准推荐、个性化检索、精准宣传以及参考决策中，以促进数字图书馆的知识服务升级。
[Purpose/significance] This paper designs a digital library user profile model, in order to explore the hidden value behind user data, comprehensively understand the needs of users, and provide new kinetic energy for the digital library to achieve precise services. [Method/process] This paper analyzes the connotation and characteristics of the user profile of the digital library, analyzes the data source and collection process of the user's profile, and regards its driven main route as digitization, labeling, association and visualization. From the natural dimension, interest dimension and social dimension, the article constructs a multi-dimensional user profile model. [Result/conclusion] The paper describes the construction process of the user profile model and designs a model framework for user profile. Simultaneously this article applies the user profile to the precise recommendation, personalized retrieval, accurate publicity and reference decision-making to promote the digital library's knowledge service upgrade.
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