Name
Abstract | ||
|---|---|---|
The majority of information retrieval experiments are evaluated by measures such as average precision and average recall. Fundamental decisions about the superiority of one retrieval technique over another are made solely on the basis of these measures. We claim that average performance figures need to be validated with a careful statistical analysis and that there is a great deal of additional information that can be uncovered by looking closely at the results of individual queries. This article is a case study of stemming algorithms which describes a number of novel approaches to evaluation and demonstrates their value. |
Year | DOI | Venue |
|---|---|---|
1996 | 3.3.CO;2-Q" target="_self" class="small-link-text"10.1002/(SICI)1097-4571(199601)47:13.3.CO;2-Q | JASIS |
Keywords | Field | DocType |
information retrieval | Stemming,Information retrieval,Language analysis,Computer science,System evaluation,Algorithm,Recall,Pattern matching,Statistical analysis | Journal |
Volume | Issue | ISSN |
47 | 1 | 0002-8231 |
Citations | PageRank | References |
190 | 24.97 | 5 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David A. Hull | 1 | 1282 | 214.27 |