摘要
针对个性化智能推荐服务是大型科学仪器协作共用网的重要组成部分的情况,分析了个性化智能推荐服务的工作原理、系统结构及相关技术;重点论述了个性化智能推荐服务案例库的结构设计、案例生成及推理过程的算法描述。将基于案例的推理方法(CBR),多Agent技术与MVC模式有效地融入个性化智能推荐服务中,采用基于Struts构架的B/S多层混合体系结构,设计并实现了一个基于Struts构架与多Agent案例推理的交互式个性化智能推荐服务系统。
Intelligent service of personalized recommendation is an important component of the super instrument network shared system. The principle, structure and relevant technology of intelligent services of personalized recommendation were analyzed. The case - based structure of intelligent service of personalized recommendation and the algorithmic procedure description of the case generation and reasoning were discussed. The method of case- based reasoning, mutli-agent technology, MVC design pattern was effectively fused into intelligent service of personalized recommendation. Using B/S multi-tier mixed systematic structure based on struts architecture, a struts architecture-based intelligent service of personalized recommendation and multi-a- gent case - based reasoning prototype system were designed and implemented.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2008年第4期584-587,共4页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
云南省教育厅科研基金资助项目(2006PT06)
