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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07</a>
We present Confluence, an enhancement to a desktop file search tool called Connections which extracts conceptual relationships between files by their temporal access patterns in the file system. A limitation of a purely file-based approach is that as file operations are increasingly abstracted by applications, their correlation to a user's activity weakens and thereby reduces the applicability of their temporal patterns. To deal with this problem, we augment the file event stream with a stream<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1277741.1277874">doi:10.1145/1277741.1277874</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/GyllstromSV07.html">dblp:conf/sigir/GyllstromSV07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ttutvke7mva5pak3xqnvnh4kru">fatcat:ttutvke7mva5pak3xqnvnh4kru</a> </span>
more »... f window focus events from the UI layer. We present 3 algorithms that analyze this new stream, extracting the user's task information which informs the existing Connections algorithms. We present results and conclusions from a preliminary user study on Confluence.
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