基于“用户画像”的图书馆资源推荐模式设计与分析

Design and Analysis of Library Resource Recommendation Model Based on User Profile

用户画像作为大数据环境下的用户分析及服务设计工具,为图书馆开展个性化服务提供了新思路。文章概述了用户画像及其相关研究实践应用,并归纳了图书馆现有资源推荐服务现状,分析了图书馆用户画像数据源并构建了图书馆用户画像模型,最后提出并设计了从单用户和多用户角度分别推荐馆藏资源的模式,为大数据环境下面向用户的图书馆资源精准推荐提供参考。

As a user analysis and service design tool in big data environment,user profile provides a new idea for the personalized service of library.The article summarized the application of user profile and its related research practice,and summarized the current status of library resource recommendation service,analyzed the library user profile data source and constructed the library user profile model,and finally proposed and designs the library user profile model,Multi-user perspective,respectively,recommended collection of resources for the big data environment for the user＇ s accurate recommendation for the library resources to provide a reference.