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Searching Desktop Files Based on Access Logs

机译:根据Access Logs搜索桌面文件

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摘要

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.
机译:当他们不记得其文件名的确切词语时,人们经常遇到麻烦。在本文中,我们首先提出了一种通过监视桌面操作来生成访问日志并实现原型来提出算法。通过在几台选定的参与者中运行它,我们收集了一个数据集的访问日志。然后,我们提出了一个图形模型来表示个人桌面文件及其关系,并突出显示两个文件关系(内容关系和时间关系)来帮助用户搜索桌面文件。基于图形模型,我们提出了一个桌面搜索方法,实验结果表明了我们方法的可行性和有效性。

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