Magenta - A model for improving information retrieval in peer-to-peer networks

This article studies the process of searching for files of interest in a peer-to-peer network, in an autonomous fashion. The system aims to provide users with the most up-to-date information that is spread over a large network of heterogeneous devices. Our motivation is that in today´s world there is a large increase in data so the tools that enable searching for it need to adapt. The advantage of the system overall is that users are notified of updates related to the information they search for whilst accessing a large amount of data through the peer-to-peer network.