Modeling Preferences: A Bayesian Mixture of Finite Mixtures for Rankings and Ratings
偏好建模：排名与评分的贝叶斯有限混合之混合模型
Rankings and ratings are commonly used to express preferences but provide distinct and complementary information.Rankings give ordinal and scale-free comparisons but lack granularity; ratings provide cardinal and granular assessments but may be highly subjective or inconsistent.Collecting and analyzing rankings and ratings jointly has not been performed until recently due to a lack of principled methods.In this work, we propose a flexible, joint statistical model for…