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Document Date: 2012-07-30 14:38:08 Open Document File Size: 2,10 MB Share Result on Facebook
City Chicago / Paris / / Company Neural Information Processing Systems / / Country France / / Currency pence / / / Facility Mechanical Engineering University of Michigan Ann Arbor / University of Michigan / / IndustryTerm converged heuristic query algorithm / search engines using clickthrough data / baseline algorithm / real-time human-computer interactions / adaptive query algorithm / heuristic search / baseline algorithms / interactive genetic algorithm / heuristic query algorithm / genetic algorithm / baseline query algorithms / default algorithm / inner product / query algorithm / heuristic query algorithms / proposed query algorithm / genetic algorithms / proposed query algorithms / recommender systems / query algorithms / default search algorithm / / MarketIndex SET 100 / / Organization Mechanical Engineering University of Michigan Ann Arbor / University of Michigan / Panos Y. Papalambros Optimal Design Laboratory Department / United States DETC2012-70605 ON DESIGN PREFERENCE ELICITATION WITH CROWD IMPLICIT FEEDBACK Yi Ren∗ Optimal Design Laboratory Department / Department of Psychology / / Person Richard Gonzalez / / Position author / Professor / / ProgrammingLanguage MATLAB / C / / ProvinceOrState Michigan / / PublishedMedium Health Economics / Communications of the ACM / / Technology EGO Query algorithm / Two baseline query algorithms / proposed query algorithm / heuristic query algorithm / baseline algorithms / default algorithm / converged heuristic query algorithm / evolution using Genetic Algorithms / adaptive query algorithm / proposed query algorithms / default search algorithm / hybrid EGO Query algorithm / Data Mining / interactive genetic algorithm / machine learning / second baseline algorithm / query algorithms / 2.2 Algorithm / Simulation / heuristic query algorithms / query algorithm / / SocialTag