Digital library retrieval model using subject classification table and user profile

Authors:
Seon-Mi Woo;Chun-Sik Yoo
Affiliations:
Division of Electronic and Information Engineering, Chonbuk National University, Jeonbuk, Republic of Korea;Division of Electronic and Information Engineering, Chonbuk National University, Jeonbuk, Republic of Korea
Venue:
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
Year:
2004

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Abstract

Existing library retrieval systems present users with massive results including irrelevant information. Thus, we propose SURM, a Retrieval Model using “Subject Classification Table” and “User Profile,” to provide more relevant results. SURM uses Document Filtering technique for the classified data and Document Ranking technique for the non-classified data in the results from keyword-based retrieval system. We have performed experiment on the performance of filtering technique, updating method of user profile, and document ranking technique with the retrieval results.