作 者: ;
机构地区: 徐州师范大学计算机科学与技术学院
出 处: 《计算机辅助工程》 2006年第3期59-61,共3页
摘 要: 基于日志的Web使用挖掘,利用用户访问页面的相关性提出用户兴趣度,并应用于远程教育中数据准备和页面的推荐过程.讨论教学过程中按需学习和因才施教的可行性,介绍聚类算法在预测推荐页面中的设计与应用.实验运行结果表明,该算法是可行和有效的. Based on Web usage mining of Web log, the user interest rate is proposed by using the relativity of the pages accessed by users, which is applied in the data preparation and page recommendation of remote education. The feasibility of implementing learning according to need and teaching students in accordance with their aptitude is discussed. The design and application in predicating the recommended Web pages is introduced by using clustering algorithm. The results indicate that the algorithm is capable and effective.
关 键 词: 个性化学习 聚类 使用挖掘 预处理 用户兴趣度
领 域: [自动化与计算机技术] [自动化与计算机技术]