This model may effectively improve the traditional collaborative filtering method used to compute the similarity between users, and enhances the accuracy of user similarity measurement.
该模型可有效地改进传统协同过滤模型相似性度量方法，提高了用户相似性度量准确性。
In order to compute the optimal weights, the formula of computing the covariance matrices among local filtering errors is presented.
为了计算最优加权，提出了局部滤波误差协方差阵的计算公式。
In order to compute the optimal weights, the formula of computing the cross-covariance among local filtering errors is presented.
为了计算最优加权，提出了局部估计误差互协方差的计算公式。
In order to compute the optimal weighting matrices, the formula of computing the cross-covariance matrices among local filtering errors, is presented.
为了计算最优加权阵，提出了计算局部滤波误差互协方差阵的公式。
In order to compute the optimal weighting matrices, the formula of computing the cross-covariance matrices among local filtering errors, is presented.
为了计算最优加权阵，提出了计算局部滤波误差互协方差阵的公式。
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