Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning.
Ni XueHuan HeJun LiuQinghua ZhengTian MaJianfei RuanBo DongPublished in: TrustCom/BigDataSE/ISPA (2) (2015)
Keyphrases
- probabilistic modeling
- e learning
- power law distribution
- probabilistic model
- power laws
- preferential attachment
- bayesian inference
- video content
- long tail
- bayesian networks
- learning experience
- parameter learning
- graphical models
- social networks
- model selection
- learning resources
- social influence
- power law
- learning objects