Name
Abstract | ||
|---|---|---|
•We introduce some typical IR tasks addressed by neural ranking models and discuss major characteristics and challenges.•We introduce a unified formulation over neural ranking models, and review existing models based on this formulation.•We survey published empirical results on the ad-hoc retrieval and QA tasks to conduct a comprehensive comparison.•We discuss several trending topics that are important or might be promising in the future. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ipm.2019.102067 | Information Processing & Management |
Keywords | DocType | Volume |
Neural ranking model,Information retrieval,Survey | Journal | 57 |
Issue | ISSN | Citations |
6 | 0306-4573 | 12 |
PageRank | References | Authors |
0.89 | 79 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiafeng Guo | 1 | 1737 | 102.17 |
| Yixing Fan | 2 | 202 | 19.39 |
| Liang Pang | 3 | 231 | 19.39 |
| Liu Yang | 4 | 380 | 18.54 |
| Qingyao Ai | 5 | 537 | 28.11 |
| Hamed Zamani | 6 | 443 | 35.06 |
| Chen Wu | 7 | 13 | 1.91 |
| W. Bruce Croft | 8 | 17812 | 2796.94 |
| Xueqi Cheng | 9 | 3148 | 247.04 |