机构知识库个性化推荐的用户模型研究  

Research on the Personal Model for Personalized Recommendation in Institutional Repository

作　　者：卞艺杰[1] 赵喆[1] 张庆龙[1] 陶飞飞[1] 邹银马[1] 

机构地区：[1]河海大学商学院,江苏南京211100

出　　处：《情报理论与实践》2013年第12期78-82,共5页Information Studies:Theory & Application

摘　　要：针对机构知识库资源推荐准确率低的问题,提出基于本体加权向量模型的改进方法,并使用此方法表示机构知识库用户模型,进而给出基于隐性信息和显性信息的兴趣权重计算公式,提出了个性化推荐的总体架构。通过实例验证,该模型在个性化推送系统中的应用可提高系统查全率和查准率。As for the low precision problem of resources recommendation in the institutional repository, this paper puts for- ward an improved method based on the vector space model and ontology, and uses this method to represent the personal model of the institutional repository. The paper further gives the interest weight calculation formula based on the implicit and explicit informa- tion, and proposes the overall architecture for personalized recommendation. Examples verify that the application of this model in the personalized recommendation system can improve the recall ratio and pertinent ratio of the system.

关 键 词：本体 资源推荐 用户模型 机构知识库 

分 类 号：G250.74[文化科学—图书馆学]