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Computers and iphones and mobile phones, oh my!: a logs-based comparison of search users on different devices.

, , , and . WWW, page 801-810. ACM, (2009)

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Computers and iphones and mobile phones, oh my!: a logs-based comparison of search users on different devices., , , and . WWW, page 801-810. ACM, (2009)Evaluating web search using task completion time., and . SIGIR, page 676-677. ACM, (2009)Study on igneous rocks identification using full gradient of potential field based on discrete cosine transform., , , , and . IGARSS, page 2707-2710. IEEE, (2012)State-chain sequential feedback reinforcement learning for path planning of autonomous mobile robots., , , , and . J. Zhejiang Univ. Sci. C, 14 (3): 167-178 (2013)How A/B Tests Could Go Wrong: Automatic Diagnosis of Invalid Online Experiments., , and . WSDM, page 501-509. ACM, (2019)Seven rules of thumb for web site experimenters., , , and . KDD, page 1857-1866. ACM, (2014)Detecting Network Effects: Randomizing Over Randomized Experiments., , , , , , and . KDD, page 1027-1035. ACM, (2017)A novel failure mode and effect analysis model using personalized linguistic evaluations and the rule-based Bayesian network., , , and . Eng. Appl. Artif. Intell., 127 (Part B): 107345 (January 2024)Evaluating Mobile Apps with A/B and Quasi A/B Tests., and . KDD, page 313-322. ACM, (2016)From Infrastructure to Culture: A/B Testing Challenges in Large Scale Social Networks., , , , and . KDD, page 2227-2236. ACM, (2015)