Name
Abstract | ||
|---|---|---|
Humanitarian relief agencies must assess humanitarian crises occurring in the world to prioritize the aid that can be offered. While the rapidly growing availability of relevant information enables better decisions to be made, it also creates an important challenge: How to find, collect, and categorize this information in a timely manner. To address the problem, we propose a targeted retrieval sys... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1147/JRD.2017.2722799 | IBM Journal of Research and Development |
Keywords | Field | DocType |
Humanitarian activities,Economics,Project management,Feedback,Organizations,Algorithm design and analysis,Classification algorithms,Automation,Information retrieval,Content management | Data science,Computer science,Real-time computing | Journal |
Volume | Issue | ISSN |
61 | 6 | 0018-8646 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kien Pham | 1 | 20 | 1.12 |
| Prasanna Sattigeri | 2 | 85 | 17.23 |
| Amit Dhurandhar | 3 | 70 | 19.33 |
| Arpith C. Jacob | 4 | 189 | 18.37 |
| Maja Vukovic | 5 | 378 | 41.62 |
| P. Chataigner | 6 | 0 | 0.34 |
| Juliana Freire | 7 | 3956 | 270.89 |
| Aleksandra Mojsilovic | 8 | 288 | 39.15 |
| Kush R. Varshney | 9 | 368 | 55.80 |