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Query-feature Graphs: Bridging User Vocabulary and System Functionality by Adam Fourney; Richard Mann; Michael Terry is a scholarly article available to read on EtoBox.

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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.

Author

Adam Fourney; Richard Mann; Michael Terry

Publisher

ACM

Published

2011

Language

EN