基于Web挖掘的理论与技术,设计了一个图书馆服务推荐系统模型。该模型采用离线部分挖掘与在线部分挖掘相分离的思路,解决了服务推荐的实时性与准确性的平衡问题。并重点针对在线部分的推荐算法,给出了具体构建方法及其实现过程,为同类研究提供了一种有益参考。 Based on the theory and technology of Web mining, a model of library service recommendation system is designed. The model adopts the idea of ​​separating the offline part of mining and the online part of mining, and solves the balance of real-time and accuracy of service recommendation. And focuses on the recommended algorithms of the online part, gives the specific construction method and its implementation process, and provides a useful reference for similar research.