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Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
A vector space model for automatic indexing
Communications of the ACM
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Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
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SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
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Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Inky: a sloppy command line for the web with rich visual feedback
Proceedings of the 21st annual ACM symposium on User interface software and technology
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Proceedings of the 22nd annual ACM symposium on User interface software and technology
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of Graphics Interface 2010
Eddi: interactive topic-based browsing of social status streams
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Characterizing the usability of interactive applications through query log analysis
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the 24th annual ACM symposium on User interface software and technology
"Then click ok!": extracting references to interface elements in online documentation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the 25th annual ACM symposium on User interface software and technology
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CHI '13 Extended Abstracts on Human Factors in Computing Systems
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This paper introduces query-feature graphs, or QF-graphs. QF-graphs encode associations between high-level descriptions of user goals (articulated as natural language search queries) and the specific features of an interactive system relevant to achieving those goals. For example, a QF-graph for the GIMP graphics manipulation software links the query "GIMP black and white" to the commands "desaturate" and "grayscale." We demonstrate how QF-graphs can be constructed using search query logs, search engine results, web page content, and localization data from interactive systems. An analysis of QF-graphs shows that the associations produced by our approach exhibit levels of accuracy that make them eminently usable in a range of real-world applications. Finally, we present three hypothetical user interface mechanisms that illustrate the potential of QF-graphs: search-driven interaction, dynamic tooltips, and app-to-app analogy search.