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一种基于读者聚类的近邻互助图书推荐模型的构建与实现
引用本文:陈锦.一种基于读者聚类的近邻互助图书推荐模型的构建与实现[J].北京工业职业技术学院学报,2020(2):19-25.
作者姓名:陈锦
作者单位:泉州经贸职业技术学院
基金项目:2018年福建省教育厅中青年教师教育科研项目(JZ180945)。
摘    要:图书智能化推荐是解决高校图书馆馆藏量快速增长与用户对图书资源高效利用之间矛盾的有效方法。研究如何利用读者历史借阅记录构建读者图书类别兴趣度和关注度矩阵,从而隐式地获取读者的兴趣偏好,通过矩阵求得读者之间的相似度,形成具有相近兴趣爱好的读者聚类,从而实现由相似读者群形成一种近邻互助推荐图书的效果。

关 键 词:聚类  推荐模型  近邻推荐

On Construction and Implementation of a Reader Clustering-Based Neighboring Book Recommendation Model
CHEN Jin.On Construction and Implementation of a Reader Clustering-Based Neighboring Book Recommendation Model[J].Journal of beijing vocational & technical institute of industry,2020(2):19-25.
Authors:CHEN Jin
Institution:(Quanzhou Vocational College of Economics and Business,Quanzhou Fujian 362000,China)
Abstract:The intelligent recommendation of books is an effective way to solve the contradiction between the rapid growth of library collection and the efficient use of books by users.This paper studies how to use the historical borrowing records of readers to construct the matrix of interest degree and interest degree of readers'books,so as to obtain the interest preference of readers implicitly,obtain the similarity between readers through the matrix,and form a cluster of readers with similar interests,so as to realize the effect of forming a kind of mutual recommendation of books by similar readers.
Keywords:clustering  recommendation model  neighboring recommendation
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