Evaluation index construction method of label system and related device

Abstract

The invention discloses an evaluation index construction method of a label system and a related device. On one hand, label cluster clustering results of a plurality of historical interaction samples are obtained; and on the other hand, a first label of each historical interaction sample in the plurality of historical interaction samples is predicted according to a first label system of an object portrait, and the plurality of historical interaction samples are clustered according to the first label to obtain a first prediction cluster clustering result. According to the similarity between the labeling clustering result and the first prediction clustering result, an evaluation index of the first label system is constructed. The evaluation index can reflect the similarity between the first prediction clustering result and the labeled clustering result, the higher the similarity is, the more conformity between the first prediction clustering result and the real situation is, and the more reasonable the distinction degree of the first label system is. Therefore, the evaluation index of the first label system can accurately measure the advantages and disadvantages of the constructed label system, and then the label system with reasonable distinction degree can be more accurately constructed based on the evaluation index.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a method for constructing an evaluation index of a label system and a related device. Background technique [0002] User Profile (User Profile) is a tagged and virtual user model abstracted based on real information such as user basic attributes, social attributes, behavioral attributes, psychological attributes, etc., in order to understand user needs and preferences through user portraits, and then provide users to provide better services. As an effective tool to outline target users, connect user appeals and design directions, user portraits have been widely used in various fields such as dialogue products, personalized recommendations, and precision marketing. [0003] In order to create a user portrait, it is necessary to define the portrait features of each dimension and the value of the portrait label of each dimension, that is, to construct the label system of th...

AI Technical Summary

Problems solved by technology

The current labeling system is either too coarse to distinguish, or too fine to make the labeling system too complex to be universal.

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