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Strucks, Christopher (author), Slokom, M. (author), Larson, M.A. (author)
Past research has demonstrated that removing implicit gender information from the user-item matrix does not result in substantial performance losses. Such results point towards promising solutions for protecting users’ privacy without compromising prediction performance, which are of particular interest in multistakeholder environments. Here,...
conference paper 2019