摘要
主要整合自适应共振理论神经网络和数据挖掘技术,构建一个基于Web的网络课程智能推荐系统,通过此机制可以向具有相似学习兴趣的学习者动态地、智能地推荐基于Web的网络课程,以此作为学习者在线选择网络课程的依据。
Adaptive resonance theory to neural network and data mining to build web-based intelligent recommender system were integrated, which can dynamically and intelligently recommend web-based course for the students with similar interests. This can be acted as the basis for selecting court.
出处
《鞍山科技大学学报》
2006年第3期274-277,共4页
Journal of Anshan University of Science and Technology
