A novel technique for user context prediction using inverse weighing algorithm

Context is a computed outcome of past, present and future data. Recent years have seen enormous growth of context engine developments and their usage in all kinds of fields such as medical, network, mobile and so on. In this paper, user context is analyzed with respect to layered data and an Inverse Weighing Algorithm (IWA) is designed to accurately correlate context and predict it's outcome for discrete input set. Iterative simulations are carried out with synthetic as well as real data and results are shown to be in coherence with the proposed method.