基于复杂网络的图书馆个性化推荐服务  

Library's Personalized Recommendation Service based on Complex Network

作　　者：董娟[1] 郑春厚[1] 李秀霞[1] 

机构地区：[1]曲阜师范大学,山东日照276826

出　　处：《高校图书馆工作》2012年第3期82-84,共3页Library Work in Colleges and Universities

基　　金：山东省高等学校人文社会科学研究项目"知识网格环境下用户模型研究"(编号:J11WL01)研究成果之一

摘　　要：文章用复杂网络的理论对图书馆的流通记录进行分析。首先利用复杂网络的理论建立借阅记录的网络模型,然后对建立好的网络进行社团结构划分,再利用基于模糊评判的余弦相似度准则计算社团成员的兴趣相关度。最后根据计算出来的结果将信息推荐给读者,实现个性化推荐服务。将复杂网络相关理论应用到图书情报领域,是复杂网络理论的延伸与发展,也丰富了图书情报学研究内容。In this paper, complex network is used to analyze the circulation record of library. Firstly, we establish network model of borrowing record by using the theory of complex network. Then we divide well established network into different communities and calculate the degree of interest correlation of the community members using cosine similarity criteria based on fuzzy judgement rules. Finally, we recommend the information to readers by the calculated results to achieve personalized recommendation service. Such application of complex network theory to the field of library information and science is the extension and development of complex network, which also enriches the research of library and information science. 11 refs.

关 键 词：复杂网络 社团结构 个性化推荐服务 

分 类 号：G252[文化科学—图书馆学]