基于关联规则数据挖掘算法的推荐系统研究与实践  

Research and Practice of Recommendation System Based on Association Rules Data Mining Algorithm

作　　者：叶飞[1] 金先好 Ye Fei;Jin Xianhao(Lu’An Vocational Technical College,Lu’an Anhui 237000,China)

机构地区：[1]六安职业技术学院,安徽六安237000

出　　处：《信息与电脑》2020年第7期60-62,共3页Information & Computer

基　　金：安徽省高等学校自然科学研究项目重点项目(项目编号:KJ2017A663);安徽省高校优秀拔尖人才培育资助重点项目(项目编号:gxyqZD2018106)。

摘　　要：传统以计算为中心的系统设计思想在大数据时代日益不能满足系统设计需求,无论是系统资源利用率还是用户信息获取体验都达到了一个瓶颈。而以大数据为中心的设计思想日益呈现巨大的优势。基于此,笔者研究了在逻辑层面围绕以数据为中心的系统设计模式。计算上利用关联规则算法生成的推荐信息作为核心数据,借助云计算技术实现用户需求信息的预测,做到对用户需求信息的预先分析、生成,并对用户需求做到即时响应。In the era of big data,the traditional computing centric system design idea is increasingly unable to meet the needs of system design,which has reached a bottleneck both in the utilization of system resources and in the user information acquisition experience.And the design idea of big data as the center is increasingly showing great advantages.Based on this,the author studies the system design pattern around the data center at the logical level.In computing,the recommendation information generated by association rule algorithm is used as the core data,and the cloud computing technology is used to realize the prediction of user demand information,so as to achieve the pre analysis and generation of user demand information,and achieve instant response to user demand.

关 键 词：数据密集型科学发现 关联规则算法 SDN Openflow 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术] TP311.13[自动化与计算机技术—计算机科学与技术]