摘要
智能的学习资源推荐服务不仅能提高在校大学生获取资源的效率,更能提高他们的学习兴趣及自学能力.采用一种改进的推荐算法来设计学习资源推荐策略,并通过S2SH轻量级J2EE框架技术和Ajax技术对其实现.实验表明,所开发的学习资源推荐服务平台不但推荐结果准确,而且性能良好,达到了预期目标.
The intelligent learning resources recommendation service can not only improve the efficiency to hunt for information for college students,but also stimulate their interest in learning and improve their self-learning ability.With the combination of S2 SH lightweight J2 EE framework,Ajax technology and an improved recommendation algorithm,we succeed in implementing the platform for the learning resources recommendation service.Experiments show that the platform is precise and performs very well,which means we have reached our initial goal.
出处
《四川文理学院学报》
2015年第2期46-50,共5页
Sichuan University of Arts and Science Journal
基金
四川省教育厅2011年度自筹项目"不可移动文物数字比保护关键技术研究--以达州市为例"(11ZB269)
四川文理学院2011年度项目"基于用户兴趣挖掘的个性化推存服务模型研究及应用"(2011Z005Y)
关键词
S2SH技术
AJAX技术
推荐算法
学习资源
设计与实现
S2SH Technology
Ajax Technology
Recommendation Algorithm
Learning Resource
Design and Implementation