For linear model, this paper proposes a linear path based backbone algorithm. Simulation results shows system lifetime of this algorithm is improved by 12% of algorithm of plane model.

对于线性模型，本文提出了一种基于线性路径的骨干网算法，仿真实验表明该算法的系统生命期比平面模型的算法提高了12%左右。

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With regard to the customer pyramid model, this paper proposes how to conduct classified management for core customer and non-core customer.

有必要以顾客金字塔模型为指导，提出如何对顾客分类管理的措施，从而对核心顾客和非核心顾客分类进行管理。

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To the weight update of Latent Semantic Analysis(LSA)model, this paper proposes an adaptive weight update algorithm based on Bayesian theory(ALSAB).

针对潜在语义分析（LSA）模型的权重更新问题，提出了一种基于贝叶斯理论的自适应权重更新算法ALSAB。

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