An Association Rules and Sequential Rules Based Recommendation System

被引：0

作者：

Liao, Shu ^{[1
]}

Zou, Tengyue ^{[1
]}

Chang, Huiyou ^{[1
]}

机构：

[1] Sun Yat Sen Univ, Dept Comp Sci, Guangzhou 510275, Guangdong, Peoples R China

来源：

2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年

关键词：

Data-mining; Association rules; Sequential rules; Recommendation System;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Nowadays, more and more researches focus on how to provide products for customers based on their interests. Recommendation system in electronic is one of the applications that are based on such mechanism. We designed and implemented an electronic commerce recommendation system used both association rules and sequential rules which is called ASRS(Association rules and Sequential rules based Recommendation System). Compared with conventional methods, more useful results can be found for using the ASRS.

引用

下载

页码：11144 / 11147

页数：4

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