Karl Anders Gyllstrom, Craig Soules, Alistair Veitch
<span title="">2007</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="" style="color: black;">Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR &#39;07</a> </i> &nbsp;
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
more &raquo; ... 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1145/1277741.1277874</a> <a target="_blank" rel="external noopener" href="">dblp:conf/sigir/GyllstromSV07</a> <a target="_blank" rel="external noopener" href="">fatcat:ttutvke7mva5pak3xqnvnh4kru</a> </span>
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