Automatically personalizing user interfaces

Authors:
Daniel S. Weld;Corin Anderson;Pedro Domingos;Oren Etzioni;Krzysztof Gajos;Tessa Lau;Steve Wolfman
Affiliations:
Department of Computer Science & Engineering, University of Washington, Seattle, WA;Google Inc, Mountain View, CA and Department of Computer Science & Engineering, University of Washington, Seattle, WA;Department of Computer Science & Engineering, University of Washington, Seattle, WA;Department of Computer Science & Engineering, University of Washington, Seattle, WA;Department of Computer Science & Engineering, University of Washington, Seattle, WA;IBM TJ Watson Research Center, Yorktown Heights, NY and Department of Computer Science & Engineering, University of Washington, Seattle, WA;Department of Computer Science & Engineering, University of Washington, Seattle, WA
Venue:
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Year:
2003

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Abstract

Speculative execution of information gathering plans can dramatically reduce the effect of source I/O latencies on overall performance. However, the utility of speculation is closely tied to how accurately data values are predicted at runtime. Caching ...