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流媒体点播学习系统自适应性研究

蒋冬梅

微型机与应用2011,Vol.30Issue(17):85-87,3.
微型机与应用2011,Vol.30Issue(17):85-87,3.

流媒体点播学习系统自适应性研究

The adaptability of research in streaming media VOD learning system

蒋冬梅1

作者信息

  • 1. 北京市海淀区职工大学,北京100083
  • 折叠

摘要

Abstract

Aiming at for streaming media learning system providing personalized VOD service problems, this paper presents an adaptive streaming media on demand system implementation model based on Naive Bayesian Classifier by researching on the related literature of the adaptability implementation in learning system. In order to improve the classification performance, suitable for streaming media studying characteristics, this paper focuses on two methods setting different weights of different knowledge based on probability inference for using with Naive Bayesian Classification and Naive Bayesian Classification by adding timing. Experimental results indicate that the methods are reasonable, scientific.

关键词

流媒体点播/自适应性/个性化服务/朴素贝叶斯分类

Key words

streaming media demand/adaptability/personalized service/Naive Bayesian Classification

分类

信息技术与安全科学

引用本文复制引用

蒋冬梅..流媒体点播学习系统自适应性研究[J].微型机与应用,2011,30(17):85-87,3.

基金项目

北京广播电视大学基层电大科研基金项目 ()

微型机与应用

2097-1788

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