Name
Title | ||
|---|---|---|
A Mathematical Investigation on Retrieval Performance Evaluation Measures of Information Retrieval Algorithm |
Abstract | ||
|---|---|---|
Retrieval performance evaluation measures of information retrieval algorithm are the foundation of evaluating and improving information retrieval algorithm. In this paper precision and recall are analyzed mathematically, and a theorem is proved: a good IR algorithm will make precision and recall to be maximal at the same time in an ideal vector space, then a new general evaluation measure based on this theorem is proposed to evaluate information retrieval algorithm. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ITCC.2005.14 | International Symposium on Information Technology |
Keywords | Field | DocType |
mathematical investigation,ideal vector space,retrieval performance evaluation measure,retrieval performance evaluation measures,information retrieval algorithm,new general evaluation measure,paper precision,good ir algorithm,management information systems,mathematical analysis,space technology,functional analysis,algorithm design and analysis,information retrieval,information analysis,information management,technology management | Data mining,Management information systems,Divergence-from-randomness model,Vector space,Information management,Algorithm design,Space technology,Information retrieval,Computer science,Precision and recall,Algorithm,Vector space model | Conference |
ISBN | Citations | PageRank |
0-7695-2315-3 | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun-feng Song | 1 | 23 | 2.82 |
| Zhang Wei-ming | 2 | 0 | 0.34 |
| Weidong Xiao | 3 | 314 | 59.09 |