Commodity classifying method and system based on mutual information

Abstract

The invention provides a commodity classifying method based on mutual information. The method comprises the following steps: extracting relevant data from a website server database to contract a training set, wherein the relevant data comprise all commodity titles and corresponding commodity classes in a certain electronic business website; segmenting the commodity name of a new commodity to obtain all feature words of the commodity name; calculating the sum of the relevancy values of all the feature words of the commodity in each commodity class by taking the sum of the relevancy values of all the feature words of the commodity in one commodity class as the score of the commodity in the commodity class, wherein a commodity class with the highest score is taken as the class of the commodity. By adopting the method, mutual dependence among each feature word during commodity classification is avoided; the situation of intersection of data in each class is eliminated, and the calculated amount is reduced.

Description

technical field [0001] The present invention relates to the field of data mining, in particular to a mutual information-based commodity classification method and system. Background technique [0002] With the rapid development of electronic information technology, data mining has penetrated into various fields, especially in the field of e-commerce, and an efficient automatic classification method of commodities is very important to manage the massive commodity information in e-commerce. [0003] However, in the prior art, products with too similar descriptors are often misclassified because their features are interdependent, or some features are determined by other features, so this misclassification will occur, for example, "Association "Laptop" and "Notebook (computer pattern)" will be considered as belonging to the same category of goods. [0004] In addition, due to the intersection of many classification data in commodity classification, for example, clothing is divid...

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Problems solved by technology

[0003] However, in the prior art, products with too similar descriptors are often misclassified because their features are interdependent, or some features are determined by other features, so this misclassification will occur, for example, "Association Laptop" and "Notebook (computer pattern)" will be considered as belonging to the same category

[0004] In addition, due to the intersection of many classification data in commodity classification, for example, clothing is divided into women's clothing and men's clothing, and clothing, shoes and hats related to outdoor sports are classified into outdoor sports, and sports equipment and so on are classified into Classification into one category, so this phenomenon of overlapping classification has caused great difficulties for product classification, and traditional classification methods cannot solve the classification problem simply and efficiently

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