面向产业集群的数据挖掘推荐系统研究与设计

Research and Design of Data Mining Recommending System for the Industrial Cluster

针对产业集群特点,面向数据检索要求,对数据挖掘推荐系统需求进行分析,研究数据挖掘推荐系统相关技术和算法,设计系统功能模块架构,研究分析处理流程,构建数据挖掘推荐系统,实现产业集群信息的智能化挖掘推荐服务。产业集群数据挖掘推荐系统具有用户需求信息挖掘推荐、相关服务信息挖掘、潜在协作伙伴挖掘推荐及科技成果动态感知等功能,能为用户推送更多有价值的信息,便于用户发现协作伙伴和潜在客户,促进产业集群和集群企业的协同创新发展。

According to the characteristics of industry cluster and the platform of data retrieval, this paper analyzed data mining recommended system requirements, studied related recommendations technology and relative algorithm of data mining, de- signed system function module architecture, researched and analyzed process, constructed data mining recommending system, and intelligent information recommendation service of industry cluster. The system contains four main functional modules： user demand information mining and recommending, related service information mining, potential parmership mining and recommending and dynamic perception of seientifie literature. This system can push more valuable information and find partners and potential customers easily for users, and promotes the innovation development of industrial clusters and enterprises.