The significance of the Cranfield tests on index languages
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
The probability ranking principle in IR
Readings in information retrieval
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning diverse rankings with multi-armed bandits
Proceedings of the 25th international conference on Machine learning
Learning consensus opinion: mining data from a labeling game
Proceedings of the 18th international conference on World wide web
Minimally invasive randomization for collecting unbiased preferences from clickthrough logs
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
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We demonstrate a system designed to elicit relative relevance judgments from users to rank images with respect to an image query. The system has been deployed and in use publicly for approximately one year. Furthermore, preference data collected from the users has been made available for research purposes. Further details regarding research on this system is available from Bennett et al. [1].