一种基于兴趣相似度的学习社区算法  

A Learner Communities Algorithm Based On Interest Similarity

作　　者：姜毅[1] 乐庆玲[1] 

机构地区：[1]武汉科技大学,计算机学院,湖北,武汉,430081 湖北大学,档案系,湖北,武汉,430062

出　　处：《电脑知识与技术（过刊）》2007年第16期1033-1035,共3页Computer Knowledge and Technology

摘　　要：远程教育为学生和教师提供了巨大的方便,但同时也导致了许多"孤独"的学习者.提出一种基于兴趣相似度的学习型社区算法.该算法是基于学习者的兴趣,将具有相似兴趣的学生自动组成学习社区,进行协作式学习.实验证明,本算法具有较高的效率和良好的扩展性.E-learning provides an unprecedented flexibility and convenience to both learners and instructors.However,it also creates a great number of lonely learners.This paper presented a learner communities algorithm based on interest similarity,which can cluster learners with similar interests into the same community and help then collaborative learn.The experiments show that this mechanism can improve efficiency and scalability.

关 键 词：兴趣向量 兴趣相似度 协同学习 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]