面向资源的高校图书馆资源推荐服务方法探讨

摘要

In the face of the shock from the Internet and the searching engine, University libraries have to fur-ther dig their own special resources. Libraries should combine with the Internet and update the service style to at-tract new readers of the university. The article proposes a new resource-oriented recommendation service method for university libraries, which is based on library resources and combined with a certain algorithm. This service can solve the contradiction between reader's needs and enormous unrelated interference data.%面对网络信息资源、搜索引擎的冲击，高校图书馆只有进一步挖掘自己的资源特色，与网络结合，更新自己的服务方式，才能赢得高校新一代读者的青睐。本文提出面向资源的高校图书馆资源推荐方法，立足图书馆资源，结合一定算法，为高校读者提供专业性、兴趣性、个性化的资源推荐服务，以期解决读者的个性化需求与存在大量无关干扰数据的矛盾。