AINov 4, 2016
Bayesian Non-parametric model to Target Gamification Notifications Using Big Data
arXiv:1611.02154v1
Originality Synthesis-oriented
AI Analysis
This addresses a specific targeting issue for online marketers, but appears incremental in applying Bayesian non-parametric models to gamification.
The paper tackles the problem of targeting gamification notifications to users by modifying the order of tasks sent, resulting in a scalable and quick approach that adapts as more data is collected.
I suggest an approach that helps the online marketers to target their Gamification elements to users by modifying the order of the list of tasks that they send to users. It is more realistic and flexible as it allows the model to learn more parameters when the online marketers collect more data. The targeting approach is scalable and quick, and it can be used over streaming data.