Automatic Tag Attachment Scheme for Efficient File Search in Peer-to-Peer File Sharing Systems

In this paper, we consider the problem of automatic tag attachment to the documents distributed over a P2P network aiming at improving the efficiency of file search in such networks. The proposed scheme combines text clustering with a modified tag extraction algorithm, and is executed in a fully distributed manner. We conducted experiments to evaluate the accuracy of the proposed scheme. The result of experiments indicates that for more than 90% of documents, it attaches the same tags as the ones attached by human reviewers.