Name
Title | ||
|---|---|---|
VIRLab: a web-based virtual lab for learning and studying information retrieval models |
Abstract | ||
|---|---|---|
In this paper, we describe VIRLab, a novel web-based virtual laboratory for Information Retrieval (IR). Unlike existing command line based IR toolkits, the VIRLab system provides a more interactive tool that enables easy implementation of retrieval functions with only a few lines of codes, simplified evaluation process over multiple data sets and parameter settings and straightforward result analysis interface through operational search engines and pair-wise comparisons. These features make VIRLab a unique and novel tool that can help teaching IR models, improving the productivity for doing IR model research, as well as promoting controlled experimental study of IR models. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2600428.2611178 | SIGIR |
Keywords | Field | DocType |
ir models,retrieval models,teaching,virtual lab | Virtual Laboratory,Multiple data,Search engine,Virtual lab,Information retrieval,Computer science,Web application | Conference |
Citations | PageRank | References |
6 | 0.53 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Fang | 1 | 918 | 63.03 |
| Hao Wu | 2 | 37 | 4.58 |
| Peilin Yang | 3 | 100 | 12.00 |
| ChengXiang Zhai | 4 | 11908 | 649.74 |