Name
Abstract | ||
|---|---|---|
Human computation is an effective way to channel human effort spent playing games to solving computational problems that are easy for humans but difficult for computers to automate. We propose Thumbs-Up, a new game for human computation with the purpose of playing to rank search result. Our experience from users shows that Thumbs-Up is not only fun to play, but produces more relevant rankings than both a major search engine and optimal rank aggregation using the well-known Kemeny rule. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1600150.1600163 | knowledge discovery and data mining |
Keywords | Field | DocType |
major search engine,rank aggregation,kemeny rule,online games,games with a purpose,search engine,relevant ranking,human computation,computational problem,new game,optimal rank aggregation,relevance,human effort,search result | Computational problem,Search engine,Game mechanics,Computer science,Communication channel,Human computation,Artificial intelligence,Machine learning | Conference |
Citations | PageRank | References |
7 | 0.67 | 7 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Dasdan | 1 | 849 | 73.11 |
| Chris Drome | 2 | 31 | 1.97 |
| Santanu Kolay | 3 | 53 | 5.43 |
| Micah Alpern | 4 | 34 | 2.61 |
| Alice Han | 5 | 7 | 1.00 |
| Tom Chi | 6 | 55 | 9.30 |
| Jamie Hoover | 7 | 7 | 0.67 |
| Ivan Davtchev | 8 | 7 | 0.67 |
| Sharad Verma | 9 | 7 | 0.67 |