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基于混合规则的图书推荐模型设计与研究

杨东风 牛永洁

计算机技术与发展2011,Vol.21Issue(7):210-213,4.
计算机技术与发展2011,Vol.21Issue(7):210-213,4.

基于混合规则的图书推荐模型设计与研究

Books Recommended Model Design and Research Based on Mixing Rules

杨东风 1牛永洁1

作者信息

  • 1. 延安大学计算中心,陕西,延安,716000
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摘要

Abstract

In the deluge of information in digital books, accurately and quickly find the books meet their needs is a digital library service system needs to solve the main problem. Aimming at the shortcomings existed in the single association rules or collaborative filtering rules used in recommendation system for digital library services,build a hybrid rule-based recommendation model of digital library services and traditional recommendation algorithm is improved. In the book recommendation process, first get a number of sub-class of the book users like recommended by association rules,and then recommend the specific books users require using collaborative filtering rules in a number of sub-class of the book. The results show that the model can not only handle a wide variety of book lending service, recommended the issue, but also improve the efficiency of recommendation, have a high practical value.

关键词

关联规则/协同过滤/推荐模型/设计研究

Key words

association rules/ collaborative filtering /recommended model/ design research

分类

信息技术与安全科学

引用本文复制引用

杨东风,牛永洁..基于混合规则的图书推荐模型设计与研究[J].计算机技术与发展,2011,21(7):210-213,4.

基金项目

陕西省教改项目计划(09BY37) (09BY37)

计算机技术与发展

OACSTPCD

1673-629X

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