基于产品相似度计算模型的复杂对象分解的相似性度量方法比传统距离度量方法能更准确的预测新产品的市场情况。
The decomposed similar measure method based on the telecom product similarity computing model can forecast market conditions of new product more accurate than the tradition measure methods.
基于产品相似度计算模型的复杂对象分解的相似性度量方法比传统距离度量方法能更准确的预测新产品的市场情况。
The decomposed similar measure method based on the telecom product similarity computing model can forecast market conditions of new product more accurate than the tradition measure methods.
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