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

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.

REFERENCES

• 1: K. Calhoun. The changing nature of the catalog and its integration with other discovery tools. Cornell University Library, March 2006. Report prepared for the Library of Congress.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.7 Digital Libraries
          Subjects: User issues

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Search process

General Terms:
Design, Experimentation, Measurement

Keywords:
data exploration, library search evaluation, user behavior modeling