This paper proposes a novel algorithm to predict user paths for fast and close-range prediction environments. Until now, much research has been conducted on the path prediction issue. However, most of this research focuses on prediction of the final destination of users and is not suitable for an application that requires a fast and close-range prediction in real time. The existing works also cannot be applied to a situation where a pattern extraction and reasoning with the current user information is not available. Therefore, this paper proposes a novel path prediction algorithm to overcome the limitations of the existing approaches. This paper defines a proper information management structure for the proposed algorithm, and a performance evaluation is conducted to show the contributions of the proposed algorithm.