Name
Abstract | ||
|---|---|---|
The standard strategies for evaluation based on precision and recall are examined and their relative advantages and disadvantages are discussed. In particular, it is suggested that relevance feedback be evaluated from the perspective of the user. A number of different statistical tests are described for determining if differences in performance between retrieval methods are significant. These tests have often been ignored in the past because most are based on an assumption of normality which is not strictly valid for the standard performance measures. However, one can test this assumption using simple diagnostic plots, and if it is a poor approximation, there are a number of non-parametric alternatives. |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1145/160688.160758 | SIGIR |
Keywords | Field | DocType |
hypertext,graph theory,structural analysis,aggregation,statistical test,clustering | Graph theory,Normality,Hypertext,Data mining,Relevance feedback,Computer science,Precision and recall,Cluster analysis,Statistical hypothesis testing | Conference |
ISBN | Citations | PageRank |
0-89791-605-0 | 251 | 38.23 |
References | Authors | |
8 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David A. Hull | 1 | 1282 | 214.27 |