Overview - Contextual Suggestion 2013

Proceedings | Data | Runs | Participants

The contextual suggestion track investigates search techniques for complex information needs that are highly dependent on context and user interests. For example, imagine an information retrieval researcher with a November evening to spend in Gaithersburg, Maryland. A contextual suggestion system might recommend a beer at the Dogfish Head Alehouse, dinner at the Flaming Pit, or even a trip into Washington on the metro to see the National Mall. The primary goal of this track is to develop evaluation methodologies for such systems.

Track coordinator(s):

• Adriel Dean-Hall, University of Waterloo
• Charles L.A. Clarke, University of Waterloo
• Nicole Simone, University of Waterloo
• Jaap Kamps, University of Amsterdam
• Paul Thomas, CSIRO
• Ellen Voorhees, National Institute of Standards and Technology (NIST)

Track Web Page: https://sites.google.com/site/treccontext/

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