评判标准是预测打分和真实值之间的均方误差(RMSE)。
The evaluation criterion is the root mean squared error (RMSE) between predicted ratings and true ones.
若以均方误差作度量估计优劣的标准，模拟显示当误差相关程度较高时，新估计优于文献中常见的矩估计。
Our simulation results show that for high errors correlation case, new estimate is superior over the moment estimate appeared in literature under mean square error criterion.
剩余均方误差(MSE)和收敛速度是衡量均衡算法性能的两个常用标准。
Usually, excess mean square error (MSE) and convergence speed are two criterions used to evaluate performance.
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