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

Proceedings of JCDL 2009. June 2009.
Q. Guo, R.P. Kelly, S. Deemer, A. Murphy, J.A. Smith, and E. Agichtein.
Download: EMUjcdl09.pdf
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.
INPROCEEDINGS{emu:jcdl09, author = {Qi Guo and Ryan P. Kelly and Selden Deemer and Arthur Murphy and Joan A. Smith and Eugene Agichtein}, title = {EMU: The Emory User Behavior Data Management Systemfor Automatic Library Search Evaluation}, booktitle = {Proceedings of the Joint Conference on Digital Libraries}, year = {2009}, month = {June}, location = {Austin, Texas {USA}} }