文章将概率矩阵分解方法应用于馆藏数字资源的智能推荐之中,研究了基于概率矩阵分解的馆藏数字资源智能推荐方法。实验结果表明,该方法能够显著提高馆藏数字资源的推荐效果,有助于提升馆藏数字资源的利用效率与图书馆信息服务的水平与用户满意度。 In this paper, the probability matrix decomposition method is applied to the intelligent recommendation of the collection digital resources, and the intelligent recommendation method of the collection digital resources based on the probability matrix decomposition is studied. The experimental results show that this method can significantly improve the recommendation effect of digital resources in collections, improve the utilization efficiency of digital resources in collections and the level of library information services and customer satisfaction.