TY - GEN
T1 - GRE
T2 - 2009 ACM/IEEE Joint Conference on Digital Libraries, JCDL'09
AU - Will, Todd
AU - Srinivasan, Anand
AU - Bieber, Michael
AU - Im, Il
AU - Oria, Vincent
AU - Wu, Yi Fang Brook
PY - 2009
Y1 - 2009
N2 - Recommendation systems have been proven to reduce the time and effort required by users to find relevant items, but there are only sporadic reports on their application in digital libraries. The General Recommendation Engine (GRE) is composed of the text search system Lucene augmented by the well-understood content based and collaborative filtering techniques and the first application of knowledge based recommendation in digital libraries to recommend items from 22 National Science Digital Library collections. In this study comprised of 60 subjects, the GRE statistically outperformed the baseline system Lucene in all areas of evaluation.
AB - Recommendation systems have been proven to reduce the time and effort required by users to find relevant items, but there are only sporadic reports on their application in digital libraries. The General Recommendation Engine (GRE) is composed of the text search system Lucene augmented by the well-understood content based and collaborative filtering techniques and the first application of knowledge based recommendation in digital libraries to recommend items from 22 National Science Digital Library collections. In this study comprised of 60 subjects, the GRE statistically outperformed the baseline system Lucene in all areas of evaluation.
UR - http://www.scopus.com/inward/record.url?scp=70450275820&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70450275820&partnerID=8YFLogxK
U2 - 10.1145/1555400.1555511
DO - 10.1145/1555400.1555511
M3 - Conference contribution
AN - SCOPUS:70450275820
SN - 9781605586977
T3 - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
SP - 457
BT - JCDL'09 - Proceedings of the 2009 ACM/IEEE Joint Conference on Digital Libraries
Y2 - 15 June 2009 through 19 June 2009
ER -