摘要
随着互联网应用的不断发展,电子商务受到越来越多的重视。如何为用户提供更加个性化的服务,提高其商品的吸引力,进而为企业带来更大的收益,就成为了网站所面临的核心问题。通过对人工免疫理论的研究,讨论了将人工免疫网络技术应用于电子商务个性化推荐的思想,并对已有算法进行了并行化的改进提出了并行免疫推荐算法(PINR)。实验结果表明,该算法在保证免疫推荐质量的基础上,大大降低了算法的运行时间,具有很好的应用价值。
With internet applications blooming,it is an important challenge that how to make services more personalized and get greater benefits for E-commerce company.Through studying the artificial immune theories,it described the idea of using the artificial immune technique in E-commerce personal recommendation.It gave a new parallel algorithm,Parallel Immune Network Recommendation（PINR）.Experimental result shows that the proposed algorithm can solve the recommender problem more highly and efficiently,and has the advantage of good application value.
出处
《科学技术与工程》
2011年第29期7132-7136,共5页
Science Technology and Engineering
关键词
推荐系统
人工免疫系统
算法并行化
recommender system artificial immune system parallel algorithm
