WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 12, 2015
Survey on Score Normalization : A Case of Result Merging in Distributed Information Retrieval
Authors: ,
Abstract: Merging the outputs of different search engines or information sources in response to a query has been shown to improve performance. In most cases, scores produced by different information sources are not comparable: merging techniques are often segregated into a score normalization step followed by a combination step. The Combination step is usually straight forward and has been an area of active research. However, the normalization step has received less attention; in particular a peculiar attribute such as diversification is largely missing in most Result Merging studies. This survey seeks to explore the various domains of score normalization, especially the results merging phase of a Distributed Information Retrieval environment, and propose a general framework to diversify score normalization through the use of the covariance principle.
Search Articles
Keywords: Machine learning , Classification approach , Distributed Information retrieval , Result merging , Information Retrieval
Pages: 138-147
WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 12, 2015, Art. #13