辽宁石油化工大学学报2011，Vol.31Issue(4)：76-79,4.DOI:10.3696/j.issn.1672-6952.2011.04.020
一种基于聚类技术的免疫推荐算法
Immune Network Recommendation Algorithm Based on Clustering
刘洋 1李海洋 2王育才3
作者信息
- 1. 辽宁石油化工大学计算机与通信工程学院,辽宁抚顺113001
- 2. 抚顺职业技术学院,辽宁抚顺113006
- 3. 北京益虹医通技术服务有限公司,北京100020
- 折叠
摘要
Abstract
In internet times, it is an important challenge that how to make more personalized services for user, increase the attraction of the goods, and get greater benefits for company. Through studying the natural immune and the artificial immune theories, it described the idea of using the artificial immune technique in e-commerce personal recommendation, and gave the explaining method for recommender technique and its problems with the shape- space model. The clustering immune network recommendation algorithm was given. Experimental result shows that the proposed algorithm can solve the recommender problem more highly and efficiently, and has the advantage of good application value.关键词
推荐系统/人工免疫/聚类技术/形态空间模型Key words
Recommendation system/Artificial immune/Clustering technique/Shape-space model分类
信息技术与安全科学引用本文复制引用
刘洋,李海洋,王育才..一种基于聚类技术的免疫推荐算法[J].辽宁石油化工大学学报,2011,31(4):76-79,4.
