Figure 6
From: BPLT+: A Bayesian-based personalized recommendation model for health care
Parameter Sensitivity of θ. The influence of parameter θ is presented: (1) we use the best smoothing technique for the first part in Formula 6, which is Jelinek-Mercer BPLT+; (2) the smoothing parameter λ is set to be optimal; (2) the stars represent the results of Jelinek-Mercer BPLT+ under evaluation metric CorrectRate1; (3) the circles represent the results of Jelinek-Mercer BPLT+ under evaluation metric CorrectRate3; (4) both metrics reach the maximum and tend to be stable when θ is greater than 0.5.