文档介绍：
高校图书馆的个性化图书推荐系统应用研
究
于海涛1,闫相斌2*
5
10
15
20
25
30
(1. 哈尔滨工业大学图书馆;
2. 哈尔滨工业大学管理学院)
摘要:数字图书馆已经成为广大高校大力推广的信息化工程,在该工程中,通过推荐系统为
用户提供个性化的服务是该领域中研究的热点问题。本文针对目前个性化推荐系统中仍然存
在的关系建模、数据稀疏等问题开展研究。提出面向高校图书馆的个性化图书推荐系统框架,
对用户之间、图书之间的同质性关系,用户和图书之间的异质关系进行建模,进而尽可能解
决数据的稀疏性问题。推荐系统采用正交非负矩阵三分解实现联合聚类算法,确保解的唯一
性和可解释性。联合聚类算法同时对用户和图书进行聚类分析,进而提高聚类的准确性。通
过历史数据的对比分析,本文提出的推荐算法在准确性方面有了较为明显的提高。
关键词:个性化推荐;联合聚类;数据稀疏
中图分类号:G25
Research on Personalized Book mendations oriented
University Library
YU Haitao1, YAN Xiangbin2
(1. Harbin Institute of Technology Library;
2. School of Management Harbin Institute of Technolog)
Abstract: Digital libraries have e the majority of colleges and universities to promote the
information technology projects, in this project, through the mendation system to provide
users with personalized service is the hot issue in the field of research. Aiming at the personalized
mendation system still exist in the relationship modeling, data sparse research and other
issues. Proposed for the university library books, personalized mendation system framework
for users, books homogeneity relationship between the user and book modeling the relationship
between heterogeneity and thus possible to solve the problem of data sparsity. mended
system uses three orthogonal non-negative matrix position algorithm for joint clustering to
ensure the uniqueness of solution and