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Thumbs-Up: a game for playing to rank search results
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Source International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the ACM SIGKDD Workshop on Human Computation table of contents
Paris, France
SESSION: Human computation in practice table of contents
Pages 36-37  
Year of Publication: 2009
ISBN:978-1-60558-672-4
Authors
Ali Dasdan  Yahoo! Inc., Sunnyvale, CA
Chris Drome  Yahoo! Inc., Sunnyvale, CA
Santanu Kolay  Yahoo! Inc., Sunnyvale, CA
Micah Alpern  Yahoo! Inc., Sunnyvale, CA
Alice Han  Yahoo! Inc., Sunnyvale, CA
Tom Chi  Yahoo! Inc., Sunnyvale, CA
Jamie Hoover  Yahoo! Inc., Sunnyvale, CA
Ivan Davtchev  Yahoo! Inc., Sunnyvale, CA
Sharad Verma  Yahoo! Inc., Sunnyvale, CA
Sponsors
Microsoft Research : Microsoft Research
: Carnegie Mellon
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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