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Introduction of entropy functions to improve the classification of commodities in e-commerce

机译:引入熵函数以改善电子商务中的商品分类

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In classification systems like eCl@ss[1] the number of classes grows and products like for example, screws are spread across several segments related to selected applications or industries. Entropy functions on test sets are used to calculate the dispersion of products across the classification system. For such dispersed classes the corresponding property sets are compared and it is shown that there is a real need for the harmonisation of property sets to improve e-commerce applications.
机译:在诸如eCl @ ss [1]的分类系统中,分类的数量不断增加,而诸如此类的产品则将螺钉分布在与所选应用程序或行业相关的多个细分市场中。测试集上的熵函数用于计算产品在整个分类系统中的分散度。对于此类分散的类,比较了相应的属性集,并显示出确实需要协调属性集以改善电子商务应用程序。

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