The Journal of Supercomputing

, Volume 54, Issue 1, pp 61–81

u-BabSang: a context-aware food recommendation system


DOI: 10.1007/s11227-009-0314-5

Cite this article as:
Oh, Y., Choi, A. & Woo, W. J Supercomput (2010) 54: 61. doi:10.1007/s11227-009-0314-5


In this paper, we propose a context-aware food recommendation system for well-being care applications. The proposed system, called u-BabSang, provides individualized food recommendation lists at the dining table, and is based dietary advice in the typical Korean medical text. Our proposed system receives a user’s profile, physiological signals, and environmental information around the dining table in real time. To operate our system, we present a method for user specified analysis, and also describe time-division layered context integration which integrates the multiple contexts obtained from the sensors. Thus, our system recommends appropriate foods for each individual’s health at the table in real time.


Context-awareness Context integration Personalized food recommendation Well-being care applications 

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.GIST U-VR Lab.GwangjuS. Korea

Personalised recommendations