Object clustering method and device, computer readable medium and electronic equipment

Abstract

The embodiment of the invention provides an object clustering method and device, a computer readable medium and electronic equipment. The object clustering method comprises the following steps: obtaining an interest label of each object, generating a label sequence corresponding to each object based on the interest label, clustering the objects according to the label sequences corresponding to theobjects; and obtaining an object group corresponding to the same clustering label, and under the condition that the object number of the object group is smaller than an object number threshold value,combining the objects in the object group into the object group associated with the clustering label to obtain a target group of which the object number is greater than or equal to the object numberthreshold value. According to the technical scheme provided by the embodiment of the invention, the target group has the clustering label capable of accurately representing the object preference information; each target group has a balanced scale, so that the clustering groups are correspondingly processed according to the clustering labels of the clustering groups, the accuracy and balance of object clustering are improved, and the processing accuracy of the clustering groups is further improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular, to an object clustering method, device, computer-readable medium and electronic equipment. Background technique [0002] When clustering objects, they are generally divided into different categories according to various characteristics of the objects, so as to perform corresponding processing for different categories. However, the clustering methods in related technologies are often unable to cluster targets with many forms, especially when the target has a lot of information, a wide range of types, and there is no correlation between each target, so that the final The clustering results cannot accurately represent various types of objects, and the clustering results are uneven, which in turn affects the subsequent operations on the clustering results. Contents of the invention [0003] Embodiments of the present application provide a method, device, computer-readabl...

AI Technical Summary

Problems solved by technology

However, the clustering methods in related technologies are often unable to cluster targets with many forms, especially when the target has a lot of information, a wide range of types, and there is no correlation between each target, so that the final The clustering results cannot accurately represent various types of objects, and the clustering results are uneven, which in turn affects the operations after the clustering results

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