提出一种基于不完全模态测量数据同时修正有限元质量矩阵与刚度矩阵的有效数值方法。

An efficient numerical method for simultaneously updating mass matrix and stiffness matrix of a finite element analytical model based on incomplete modal data measured is presented.

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实验结果表明：基于项目矩阵划分的协同过滤算法有效地解决新项目推荐困难的问题，显示出了比传统推荐算法更好的推荐质量和扩展性。

Compared traditional collaborative filtering method, the experimental results show that our approach can find a solution to the problem of new item recommendation effectively.

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