The International Journal of Innovative Research in Computer and Communication Engineering
The authors present a context-based information re-finding is known as re-finder. It power of human's natural recall characteristics and grant users to re-find files and web pages based on their previous access context. The Re-Finder re-finds the information based on an objection by context model over the context memory snapshot and linking to the accessed information contents. The paper occurrence in the memory snapshots are arranged in a clustered and associated aspect and dynamically emerges in life cycles. Here, they evaluate the scalability of Re-Finder on a large synthetic data set.