Commercial articles clustering system and method based on shopping behaviors

Abstract

The invention discloses a commodity clustering system based on shopping behaviors, consisting of two parts of a data preparation part and a condensation clustering processing part, wherein, pairs of commodities the time of which are commonly purchased is larger than a certain threshold TB more than or equal to 2 are found in a database where the fact that everyone among a plurality of users simultaneously purchases what commodities each time is stored, and the clustering distance is calculated; each commodity is taken as an independent subclass initially; two subclasses of products which reach the lowest joint purchase time threshold and have closest distance are clustered to a class by utilization of the condensation algorithm, and simultaneously the distance between a result class and other subclasses is updated; in such a manner, subclasses are clustered into main classes; the process is stopped until the number of the main classes is smaller than a certain threshold TC or the smallest value of the distance between classes is larger than a certain threshold TD, and then clustering commodities are obtained. The invention simultaneously discloses a commodity clustering method based on the shopping behaviors. The commodity clustering system reaches the effects of reminding consumers of purchase and increasing the sales volume of related commodities.

Description

Technical field: [0001] The invention relates to the field of data mining, in particular to a product clustering technology system and a method thereof. Background technique: [0002] In the field of commodity sales, sellers often need to divide different commodities into several categories according to similarity or correlation, so as to facilitate management and purchase by consumers. Traditionally this is done manually. Due to the subjectivity and negligence of human judgment, such classification may not be completely accurate. With the development of data mining technology, more and more companies use clustering algorithms in data mining technology to assist manual classification work. [0003] In data mining, a bunch of objects are divided into several categories, and there are two types: classification and clustering. Classification in data mining specifically refers to assigning some types in advance and classifying each object into the closest type. And clusterin...

AI Technical Summary

Problems solved by technology

[0005] At present, no similar product clustering technology ba

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