基于关联规则挖掘的e-Learning系统中个性化学习推荐

摘要

随着信息时代与学习型社会的来临，基于因特网技术面向个性化学习的e_Learning的研究受到了普遍重视。本文基于Web挖掘中关联规则的经典Apriori算法，通过对学生高频访问路径和最大向前访问路径两个方面的挖掘，调整系统结构，从而实现向学生进行个性化学习内容的推荐。%With the advent of the information age and learning society, the research on E -learning based on the Internet technologies for personalized learning has got widespread attention. Based on the Apriori algorithm of association rules in Web mining, this paper makes studies on students’ frequent access paths and maximum forward access paths, adjusts the system structure and realizes students’ personalized learning.