Study on recommendation algorithm based on artificial immune network

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.

关键词： aiNet immune network recommendation

作者: LU Lu SUI Jianjun

作者单位: Faculty of Computer,Guangdong University of Technology GuangZhou,China Guangdong Zhonggong Project Management CO..LTD GuangZhou,China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 95-98

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）