Book Recommendation System for Digital Library Based on User Profiles by Using Association Rule

被引：0

作者：

Jomsri, Pijitra ^{[1
]}

机构：

[1] Suan Sunandha Rajabhat Univ, Dept Informat Technol, Bangkok, Thailand

来源：

2014 FOURTH INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING TECHNOLOGY (INTECH) | 2014年

关键词：

Recommendation System; data mining; association rule;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Due to wide application of management system, information data grows rapidly. On one hand, people have a large number of information resources. On the other hand, the time cost and difficulty of people finding the proper information increases. To tackle the problems, book recommendation is one of the solutions for university libraries which possess huge volumes of books and reading-intensive users. This paper proposes a library book recommendation system based on user profile loaning and apply association rule to create model. The result shows that new association rule algorithm suitable to apply for recommender book in library.

引用

页码：130 / 134

页数：5

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