A scalable assistant librarian: hierarchical subject classification of books

Authors:
Steven P. Crain;Jian Huang;Hongyuan Zha
Affiliations:
Georgia Institute of Technology, Atlanta, GA, USA;Pennsylvania State University, University Park, PA, USA;Georgia Institute of Technology, Atlanta, GA, USA
Venue:
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2008

Citing 3
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Abstract

In this paper, we discuss our work in progress towards a scalable hierarchical classification system for books using the Library of Congress subject hierarchy. We examine the characteristics of this domain which make the problem very challenging, and we look at several appropriate performance measurements. We show that both Hieron and Hierarchical Support Vector Machines perform moderately well.