EMU: the emory user behavior data management system for automatic library search evaluation

Authors:
Qi Guo;Ryan P. Kelly;Selden Deemer;Arthur Murphy;Joan A. Smith;Eugene Agichtein
Affiliations:
Emory University, Atlanta, GA, USA;Emory University, Atlanta, GA, USA;Emory University, Atlanta, GA, USA;Emory University, Atlanta, GA, USA;Emory University, Atlanta, GA, USA;Emory University, Atlanta, GA, USA
Venue:
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Year:
2009

Citing 0
Cited 1

Discovering common motifs in cursor movement data for improving web search

Proceedings of the 7th ACM international conference on Web search and data mining

Quantified Score

Hi-index	0.00

Visualization

Abstract

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 exploring 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.