面向多样性个性化推荐服务的高校图书馆大数据应用研究

The Research on the Application of University Library Big Data for Diverse Personalized Recommendation Services

为了满足大数据环境下高校图书馆用户对于结果多样性的个性化推荐服务的需求,提出高校图书馆大数据应用策略和应用方案。将大规模网络分析、大数据挖掘和Hadoop云计算技术作为沟通应用需求和用户行为大数据应用的核心方法和重要技术工具。在基于Hadoop云平台的应用方案中,使用大规模网络分析方法发现用户的多样主题兴趣,使用大数据挖掘方法发现用户的多样情境兴趣,进而提供结果多样性的个性化推荐服务。

In order to meet the needs of university library users in the big data environment for the personalized recommendation services with diverse results,the application strategy and application scheme of university library big data are proposed.The large-scale network analysis,the big data mining and the Hadoop cloud computing technology are used as core methods and important technical tools to connect the application requirements and the application of user behavior big data.In the application scheme based on the Hadoop cloud platform,the users’diverse topic interests are discovered by the method of large-scale network analysis and the users’diverse interests are discovered by the method of big data mining to provide the personalized recommendation services with diverse results.