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When Information Retrieval Measures Agree About the Relative Quality of Document Rankings by Robert M. Losee is a Computer Science article available to read on EtoBox.
What is When Information Retrieval Measures Agree About the Relative Quality of Document Rankings about?
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.
Who reads When Information Retrieval Measures Agree About the Relative Quality of Document Rankings?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Robert M. Losee
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0002-8231)
- Published
- 2000
- Language
- EN
- Field
- Computer Science (Physical Sciences)