：将用户画像嵌入智慧图书馆的移动视觉搜索及推荐服务中，将解决信息过载且存在语义鸿沟、检索结果不能满足读者的个性化需求等问题。文章述评了智慧图书馆移动视觉搜索和用户画像相关研究，探索了用户画像在智慧图书馆移动视觉搜索及推荐服务中的数据采集、数据预处理、画像建模和效果评估等实现过程，搭建了智慧图书馆个性化移动视觉搜索及推荐服务模型，探讨了模型的数据获取、资源整合、数据处理、智慧服务等各层次功能，分析了涉及的用户隐私保护、用户画像动态变化、服务性能优化等关键问题。

Embedding user's portrait in smart library's mobile visual search service can solve the information overload and the semantic gap problem, and meet the personal needs of the readers. The paper made a review of the related research of mobile library visual search and user portrait, explored the realization process of user portrait in data collection、data preprocessing、modeling and effect evaluation of smart library mobile visual search and recommendation service, constructed personalized mobile visual search and recommendation service model, probed different function of the model in data collection, resources integration, data processing, and smart service, and analyzed some key problems such as privacy protection, dynamic changes of the portrait, and optimization of service.