Magic barrier estimation models for recommended systems under normal distribution
Appl. Intell., Volume 48, Issue 12, 2018, Pages 4678-4693.
Magic barrierNormal distributionRecommender systemUser uncertainty
Real data are usually imperfect. The inherent nature of data determines the magical barrier of a machine learning task. In this paper, we propose three normal distribution models to estimate the magic barrier of recommender systems in terms of mean absolute error (MAE). The first model assumes that the users’ ratings are all subject to th...More
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