中文摘要：

针对教育视频点播系统等在线学习资源的访问用户剧增和点播效率低下这一突出的矛盾,通过对视频点播系统的智能化视频分类算法的研究和优化,寻求如何通过Web数据挖掘来提高VOD系统的整体功能和服务质量的途径,同时在实现智能化点播信息的排序系统中加强系统的交互性,以改善VOD系统的运行和维护难度,提高站点的工作效率,加速和优化视频点播系统的教育教学应用,为席卷全国高校的MOOCs热等在线开放网络课程建设提供借鉴和支持。

英文摘要：

Facing with the contradictions of the increase users and low efficiency of online learning video resources,this study proposed the intelligent video classification algorithm of video on demand system research and optimization.It is based on the data mining technology and the practice proved that can improve the site＇s work efficiency of Video On Demand system.We expect the results of the study are to accelerate education teaching application and optimization of video on demand system,meanwhile,it can provide reference and support for the online open network course construction such as MOOCs.