基于多元混合准则模糊算法的高校教育信息推荐系统设计

Design on college education information recommendation system based on fuzzy algorithm of multivariate mixed criteria

伴随教育信息化工作逐渐深入,网络教学信息出现爆炸性增长,如何在大量教育资源中准确提取用户所需教育信息是教与学过程中亟待解决的问题。文中设计基于多元混合准则模糊算法的高校教育信息推荐系统,系统核心功能模块分为检索模块、数据库模块以及推荐显示模块。用户在检索模块输入检索信息后,检索模块将用户检索指令传输至数据库模块,数据库模块通过多元混合准则模糊决策模型按照用户偏好提取推荐度最高的教育信息传输至推荐显示模块,推荐显示模块在推荐资源列表将推荐信息反馈至用户。应用结果显示,该系统可根据用户偏好向用户推荐教育信息,且用户发现准确度和推荐召回率都较高。

With the gradual deepening of educational informationalization,an explosive growth of information appears in online teaching.How to accurately extract the educational information required by users from a large number of educational resources is a problem that needs to be solved urgently in the teaching and learning process.The college education information recommendation system based on the fuzzy algorithm of multivariate mixed criteria is designed.The core function modules of the system are divided into retrieval module,database module and recommendation display module.Users input the retrieval information into the retrieval module,and then the retrieval module transmits the users′retrieval instructions to the database module.The database module extracts the educational information with the highest recommendation level according to the user preference by means of the fuzzy decision model of multivariate mixed criteria,and transmits it to the recommendation display module.In its resource recommendation list,the recommendation display module feeds the recommendation information back to the users.The application results show that the system can recommend educational information to the users according to their preferences,and the detection accuracy and recall rate of the system are high.