摘要
针对传统的推荐系统中获取关键词倾向性单一的问题,设计数据挖掘下的自动化推荐系统。系统在原有的硬件结构基础上,在接口模块中设置页面跳转拦截器和会话控制拦截器,将其与中心处理模块相连,在中心处理模块中使用nRF905无线芯片,形成新的系统硬件构造。数据挖掘下,依据用户信息挖掘关联规则,确定相似量度,搜索出近邻信息,获得最终推荐内容。利用软件程序代码实现自动化推荐,至此自动化推荐系统设计完成。测试结果表明,在使用相同的用户信息情况下,与传统的推荐系统相比,数据挖掘下的自动化推荐系统获得的推荐词汇多了3~5种,关键词的倾向性更广泛,适合应用在实际项目中。
In view of the single tendency to obtain keywords in traditional recommender systems,an automatic recommender system based on data mining is designed.On the basis of the original hardware structure,the page skip interceptor and session control interceptor are set in the interface module,which are connected with the central processing module.The nRF905 wireless chip is used in the central processing module to form a new system hardware structure.On the basis of user information mining association rules for data mining technology,the similar measures are determined and the neighborhood information is searched out to get the final recommended content.Then,the software program code is used to realize automatic recommendation.So far,the design of automatic recommender system is completed.The test results show that,in comparison with the traditional recommender system,the automatic recommender system based on data mining obtains extra 3~5 kinds of recommended words under the condition of using the same user information,which has more broader keyword tendency,and is suitable for the application in actual projects.
作者
陈利军
CHEN Lijun(Information Engineering University,Zhengzhou 450000,China;School of Computer Engineering,Henan Institute of Economics and Trade,Zhengzhou 450018,China)
出处
《现代电子技术》
北大核心
2020年第5期113-115,120,共4页
Modern Electronics Technique
基金
河南省高等学校青年骨干教师资助计划项目(教高〔2013〕984号)
河南省大数据双创基地项目(豫发改高技〔2017〕945号)。
关键词
推荐系统
拦截器设置
数据挖掘
关联规则
近邻信息搜索
推荐内容获得
recommender system
interceptor setting-up
data mining
association rule
neighborhood information search
recommended content acquisition
