摘要
现有个性化图书推荐没有考虑受纸质图书的复本,构建读者及纸质图书属性矩阵、读者借阅偏好矩阵,定义基于页数的借阅时间、新书、图书类别的借阅权重。建立读者借阅偏好矩阵和读者属性矩阵的关联、读者借阅偏好矩阵和纸质图书属性矩阵的关联。根据教育部对高校大学生专业课程设置的特点、读者借阅记录的统计,在图书馆书库存在复本的情况下区分专业、非专业纸质图书推荐。在真实的借阅记录数据集上,实验验证提出方法的有效性。
Existing personalized books recommendation technology do not consider copy of paper books.Building readers and paper books attribute matrix,readers borrow preference matrix,and definite borrowed time weight based on pages,new books weight based on year of publication,borrow weight based on books category.Establishing association between borrow preference matrix of readers and attribute matrix of readers.Establishing association between borrow preference matrix of readers and and attribute matrix paper books.According to characteristics of Ministry for Education of university students in professional courses set and readers records statistics,distinguish professional paper books with non-professional paper books recommended while library stacks exist their copy.
出处
《现代情报》
CSSCI
2013年第8期68-72,共5页
Journal of Modern Information
基金
CALIS广西壮族自治区文献信息服务中心预研项目资助(CALISGX201305)
广西教育厅科研项目(201204LX481)
关键词
读者属性
纸质图书属性
读者借阅偏好
专业纸质图书推荐
非专业纸质图书推荐
readers attribute
copy books attribute
readers borrow preference
recommendation of professional copy books
recommendation of non-professional copy books
