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Effective User Interaction for High-Recall Retrieval: Less is More., , , , , and . CIKM, page 187-196. ACM, (2018)Evaluating sentence-level relevance feedback for high-recall information retrieval., , , and . Inf. Retr. J., 23 (1): 1-26 (2020)Preferential partner selection in an evolutionary study of Prisoner's Dilemma, , , and . Biosystems, (1996)Report on the SIGIR 2013 workshop on modeling user behavior for information retrieval evaluation (MUBE 2013)., , , and . SIGIR Forum, 47 (2): 84-95 (2013)Evaluating Streams of Evolving News Events., , and . SIGIR, page 675-684. ACM, (2015)UMass at TREC 2004: Novelty and HARD., , , , , , , and . TREC, volume 500-261 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2004)Crowdsourcing with a Crowd of One and Other TREC 2011 Crowdsourcing and Web Track Experiments.. TREC, volume 500-296 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2011)Graph based genetic algorithms., , and . CEC, page 1362-1368. IEEE, (1999)Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering., , , and . SIGIR, page 797-800. ACM, (2017)How do users find things with PubMed?: towards automatic utility evaluation with user simulations., and . SIGIR, page 19-26. ACM, (2008)