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Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network
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
doi:10.1109/icdm.2012.94
dblp:conf/icdm/ShenJDCSPK12
fatcat:mujupy434jf4vn4i6rfay22tdu