With the increase of the number of library books, readers can not quickly get their required resources. Aiming at the problem that the digital library can't provide users with accurate personality book recommendation service, through the analysis of personalized recommendation technology, a personalized recommendation model is constructed based on user preferences, and the system is studied. Finally, the test results prove the effectiveness of the model.%随着图书馆图书数量的增加，读者无法快速获取自己所需资源。针对数字图书馆无法为用户提供准确个性的图书推荐服务的问题，通过分析个性化推荐技术，构建了一种基于用户偏好的个性化图书推荐模型，并进行了系统的研究。最后通过试实验验证其模型的有效性。
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