Life log management based on machine learning technique

Keum-Sung Hwang, Sung-Bae Cho

Abstract: Mobile devices have already shown great potential in terms of providing customized services to users because they can record meaningful and private information continually for long periods of time, so the research for understanding and managing the life log of human has received increasing attention in recent years. In this paper, we propose a novel method for life log management based on the machine learning, which summarizes and manages the experiences of human. The method uses an effective probabilistic network model for analyzing various kinds of log data in mobile environments, which were modularized to decrease complexity. We also propose a mobile life browser, which visualizes and searches humanpsilas mobile life based on the contents and context of personal information. The mobile life browser is for searching the personal information effectively collected on his/her mobile device and for supporting the concept-based searching method by using concept networks and Bayesian networks.