Rank aggregation methods for the Web
Proceedings of the 10th international conference on World Wide Web
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Designing games with a purpose
Communications of the ACM - Designing games with a purpose
Evaluation measures for preference judgments
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Matchin: eliciting user preferences with an online game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning consensus opinion: mining data from a labeling game
Proceedings of the 18th international conference on World wide web
Thumbs-up: a game for playing to rank search results
Proceedings of the 18th international conference on World wide web
Semantics Discovery via Human Computation Games
International Journal on Semantic Web & Information Systems
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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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.