基于协同过滤的联机公共目录查询系统个性化检索结果排序研究  

Research on the Personalized Retrieval Results Sorting of the OPAC System Based on Collaborative Filtering

作　　者：高嵩[1] 李高虎[1] 曹红兵[2] 唐小新[2] 唐秋鸿[3] 

机构地区：[1]北京邮电大学资产经营公司,北京100876 [2]广西大学图书馆,广西南宁530004 [3]暨南大学管理学院,广东广州510632

出　　处：《情报理论与实践》2013年第2期100-103,共4页Information Studies:Theory & Application

基　　金：2010年国家社会科学基金项目"高校图书馆个性化服务系统开发研究"的成果;项目编号:10BTQ008

摘　　要：提出并实现基于协同过滤的联机公共目录查询系统个性化检索结果排序方法。该方法构建同趣读者引擎,计算读者间的相似性及最近邻居。当读者通过OPAC进行检索时,系统将其最近邻居的相关借阅书目在结果中优先显示,以实现个性化检索的目的。该方法显著提高了检索的查准率。This paper proposes and implements the personalized retrieval results sorting method for library OPAC system based on collaborative filtering. The method constructs the search engines of the readers of the same interest, and calculates the similarities between readers and the nearest neighbours. When the readers conduct retrieval via the OPAC system, the system will display the books borrowed by the nearest neighbours first in the retrieval results to achieve the purpose of personalized retrieval. The method im- proves the precision of retrieval evidently.

关 键 词：协同过滤 个性化检索 联机公共目录查询系统 排序 

分 类 号：G354[文化科学—情报学]