基于藏语远程教育网的学习资源推荐系统设计与研究  

Based on the Website of Tibetan Distance Education Learning Resources Recommender System Design and Research

作　　者：马永昌[1] 陈新一[1] 

机构地区：[1]西北民族大学,中国民族信息技术研究院,甘肃兰州730030

出　　处：《西北民族大学学报（自然科学版）》2014年第2期21-27,共7页Journal of Northwest Minzu University(Natural Science)

基　　金：国家科技支撑项目"少数民族语言文字信息处理共性关键技术研究与示范应用"(2009BAH41B00)

摘　　要：随着藏语远程教育网上学习者的不断增多和学习资源的不断扩充,学习者选择资源困难和学习资源难以利用的矛盾日益显著,而推荐系统能帮助学习者在没有明确需求时发现并推荐给他们感兴趣的学习资源.文章基于藏语远程教育网站的学习资源和学习者数据,研究了推荐系统相关的技术和算法,设计了学习资源推荐系统,并通过Apache Mahout开源项目提供的平台实现了推荐系统.With the Tibetan distance education and the growing number of online learners expanding learning resources, select the resource difficulties learners and learning resources have become increasingly difficult to use significantly. The recommender system helps learners to discover and push the learning resources which they are interested in the absence of clear demands. Based on the Tibetan distance education learning resources and websites learner data, system - related technology to study the recommender algorithm designed learning resource recommender system, and through the open- source Apache Mahout project provides a platform to achieve the recommender system. Experimental results show that the proposed design solutions and recommender algorithm selected when distance education network for Tibetan recommended learning resources not only theoretically possible, but in practice can be achieved.

关 键 词：藏语远程教育 推荐系统 基于学习资源的协同过滤技术 Top-N推荐 

分 类 号：TP302.7[自动化与计算机技术—计算机系统结构]