Recommendation system based on Web usage mining for personalized E-learning
基于Web使用挖掘的个性化学习推荐系统

To solve the problems of current E-learning recommendation systems by adopting multi-agent system(MAS),a new distributed intelligent recommendation system based on Web usage mining(WUM) was put forward integrating MAS with Web services.It can help learners find resource requested by dynamically generating personal link pages based on the user identification.By adopting least recently used(LRU) policy,the recommendation algorithm of the system was proposed including the global implementing algorithm,clustering algorithm,and suggestion algorithm.Real-time application and experiments show that it is feasible and effective.