EMU: The Emory User Behavior Data Management System for Automatic Library Search Evaluation

Published: 
June 2009

Q. Guo, R.P. Kelly, S. Deemer, A. Murphy, J.A. Smith, and E. Agichtein. Proceedings of JCDL 2009. June 2009.

Publication: 
Summary: 

We describe EMU, a system for collecting, managing, and mining the
behavior data collected in the Emory libraries search system. We
describe the data capture system based on the LibX browser plugin,
the database management system for successfully storing, searching
and mining millions of resulting user interactions, and preliminary
results of interesting queries and statistics that we are using to
evaluate the effectiveness of library search tools.

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