Searching desktop files based on access logs

Abstract

People often meet trouble in searching a desktop file when they can not remember exact words of its filename. In this paper, we firstly propose an algorithm to generate access logs by monitoring desktop operations and implement a prototype. By running it in several computers of selected participants we collected a data set of access logs. Then we propose a graph model to represent personal desktop files and their relationships, and highlight two file relationships(content relationship and time relationship) to help users search desktop files. Based on the graph model, we propose a desktop search method, and the experimental results show the feasibility and effectiveness of our methods. © Springer-Verlag 2013.