基于分类的协同过滤图书推荐系统应用研究

随着社会的发展，图书馆图书的总量呈数量级增长，人们面对大量的图书和文献资料变得无从选择，而传统的 图书检索技术并不能向读者提供主动式、个性化的检索结果。推荐系统是一种智能化系统，它把用户对目标对象的选择、评价 等大量信息通过特定的算法进行处理，根据处理结果形成推荐列表向用户进行推荐，以此提供决策参考。文章将就基于分类 的协同过滤图书推荐系统展开研究和探讨。

Research on the Application of Collaborative Filtering Recommendation System Based on Classification

With the development of society, the total amount of library is orders of magnitude increase, people faced a large number of books and literature don’t know how to choice, and the traditional book retrieval technology is not to provide readers with the active and personalized search results. Recommendation system is an intelligent system, it is the user to the target object selection, evaluation of large amounts of information through specific algorithms for processing, according to the processing results in the formation of recommendation list is recommended to the user, in order to provide decision-making reference. This article will study and discuss the collaborative filtering recommendation system based on classification.