Paper Info
Title
When information retrieval measures agree about the relative quality of document rankings
Abstract
The variety of performance measures available for information retrieval systems, search engines, and network filtering agents can be confusing to both practitioners and scholars. Most discussions about these measures address their theoretical foundations and the characteristics of a measure that make it desirable for a particular application. In this work, we consider how measures of performance at a point in a search may be formally compared. Criteria are developed that allow one to determine the percent of time or conditions under which two different performance measures suggest that one document ordering is superior to another ordering, or when the two measures disagree about the relative value of document orderings, As an example, graphs provide illustrations of the relationships between precision and F.
Year
DOI
Venue
2000
3.3.CO;2-T" target="_self" class="small-link-text"10.1002/(SICI)1097-4571(2000)51:93.3.CO;2-T
JASIS
Keywords
Field
DocType
relevance information retrieval,information retrieval,search engine,computer networks,comparative analysis
Data mining,Graph,F-distribution,Search engine,Information retrieval,Computer science,Filter (signal processing),Relative value,Relevance (information retrieval)
Journal
Volume
Issue
ISSN
51
9
0002-8231
Citations 
PageRank 
References 
19
1.95
14
Authors
1
Name
Order
Citations
PageRank
Robert M. Losee127636.01