Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network

Yelong Shen, Ruoming Jin, Dejing Dou, Nafisa Chowdhury, Junfeng Sun, Brigitta Piniewski, David Kil
2012 2012 IEEE 12th International Conference on Data Mining  
Modeling and predicting human behaviors, such as the activity level and intensity, is the key to prevent the cascades of obesity, and help spread wellness and healthy behavior in a social network. In this work, we propose a Socialized Gaussian Process (SGP) for socialized human behavior modeling. In the proposed SGP model, we naturally incorporates human's personal behavior factor and social correlation factor into a unified model, where basic Gaussian Process model is leveraged to capture
more » ... idual's personal behavior pattern. Furthermore, we extend the Gaussian Process Model to socialized Gaussian Process (SGP) which aims to capture social correlation phenomena in the social network. The detailed experimental evaluation has shown the SGP model achieves the best prediction accuracy compared with other baseline methods.
doi:10.1109/icdm.2012.94 dblp:conf/icdm/ShenJDCSPK12 fatcat:mujupy434jf4vn4i6rfay22tdu