| Thumbs-Up: a game for playing to rank search results |
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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
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Authors
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Ali Dasdan
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Yahoo! Inc., Sunnyvale, CA
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Chris Drome
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Yahoo! Inc., Sunnyvale, CA
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Santanu Kolay
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Yahoo! Inc., Sunnyvale, CA
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Micah Alpern
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Yahoo! Inc., Sunnyvale, CA
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Alice Han
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Yahoo! Inc., Sunnyvale, CA
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Tom Chi
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Yahoo! Inc., Sunnyvale, CA
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Jamie Hoover
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Yahoo! Inc., Sunnyvale, CA
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Ivan Davtchev
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Yahoo! Inc., Sunnyvale, CA
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Sharad Verma
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Yahoo! Inc., Sunnyvale, CA
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Downloads (6 Weeks): 5, Downloads (12 Months): 5, Citation Count: 0
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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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