Results Merging in the Networked Computer Science Technical Reports Library (NCSTRL)
Nelson, Eric J., Department of Computer Science, University of Virginia
French, James C., Department of Computer Science, University of Virginia
In large digital libraries, results merging schemes based on relevancy to a given query are essential to providing a useful service. Documents estimated to be the most relevant should the first presented to the user. The Networked Computer Science Technical Reports Library currently does not perform any relevancy estimation in its results merging. I have altered the dienst software that NCSTRL uses to test the feasibility of adding such a scheme. I found that a merging scheme based on relevancy can be added to the NCSTRL system with only basic modification. However, to provide a truly useful service more drastic changes need to be implemented within the current system.
BS (Bachelor of Science)
Thesis originally deposited on 2011-12-28 in version 1.28 of Libra. This thesis was migrated to Libra2 on 2016-11-30 15:17:19.
All rights reserved (no additional license for public reuse)