社会化在线学习推荐方法

A Social Recommendation Method for Online Learning

针对传统推荐方法中普遍存在的冷启动问题和推荐结果忽视了项目间的逻辑约束关系问题,分析用户社会属性和社交关系对用户学习行为的影响,以及学习资源之间的约束逻辑,提出面向在线学习的社会化推荐方法,为精准的学习资源推荐提供指导。

Cold start problem is prevalent in traditional recommendation methods which also ignore the logical constraint relationship among items. The influence of user social attributes and social relationships on user learning behaviors,as well as the logic of constraint between learning resources is analyzed in this paper. A method of social recommendation for online learning is proposed. It provides guidance for accurate learning resource recommendation.