Study on recommendation algorithm based on artificial immune network

被引：0

作者：

Lu Lu ^{[1
]}

Ling Jie ^{[1
]}

Sui Jianjun ^{[2
]}

机构：

[1] Guangdong Univ Technol, Fac Comp, Guangzhou, Guangdong, Peoples R China

[2] Guangdong Zhonggong Project Management CO LTD, Guangzhou, Guangdong, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL I | 2010年

关键词：

aiNet; immune network; recommendation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A recommendation algorithm based on artificial immune network is proposed to deal with the problems of data sparsity and scalability in recommendation technology in the paper,. The algorithm can reduce data sparsity and improve the accuracy by using its own mechanisms for dynamic regulation of the immune. The experimental results show that the algorithm has improved the recommend accuracy and has some practical significance.

引用

页码：61 / 63

页数：3