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User data classification method, device, server and computer-readable storage medium

A technology of user data and classifiers, applied in the Internet field, can solve the problems that recommended applications may not be suitable, and the effectiveness depends on the correctness and scale of training data, so as to achieve good personalized recommendation effects and accurate classification effects

Active Publication Date: 2020-11-03
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the process of realizing the present invention, the inventors found that the prior art has at least the following technical problems: the effectiveness of the method is very dependent on the correctness and scale of the training data. Standard features, such as milk powder will clearly indicate the age range, which already has a strong crowd orientation, so it may not be suitable as a recommended application

Method used

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  • User data classification method, device, server and computer-readable storage medium
  • User data classification method, device, server and computer-readable storage medium
  • User data classification method, device, server and computer-readable storage medium

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Embodiment Construction

[0043] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concepts of the present disclosure.

[0044] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The words "a", "an" and "the" used herein shall also include the meanings of "plurality" and "multiple", unless the context clearly indicates otherwise. In addition, the terms "comprising", "comprising", etc. used herein indicate the existence of stated features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or comp...

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Abstract

The invention provides a user data classification method. The method comprises the steps that user data characteristics are generated; a tagged data set and a untagged data set of user data are generated according to tagging rules; a positive sample tagged data set P and an unknown sample data set U of one classification in multiple classifications are built according to the tagged data set and the untagged data set; a classifier is generated according to the positive sample tagged data set P, the unknown sample data set U and the corresponding user data characteristics; the classifier is used for determining whether the user data in the untagged data set belongs to the classification or not. Accordingly, the user data is classified through an improved positive sample tag learning algorithm, the method is suitable for characteristic extraction of people, people having the similar life stages in a system are mined, and then electric business advertisements achieving precise people orientation are provided.

Description

technical field [0001] The present disclosure relates to the technical field of the Internet, and in particular to a user data classification method, device, server and computer-readable storage medium. Background technique [0002] Market researchers and sociologists have become increasingly aware in recent years that different categories of consumers, such as consumers at different life stages, display different shopping behaviors. Consumers can be divided into some coarse-grained life stages, for example, the stage of schooling (young, single), newly married (young, and no children), middle-aged (married, with 0 or more children), old age (older or retired, and children live independently), etc. Obviously, people in different life stages (age groups) show differentiated consumption trends. For example, pregnant women will buy folic acid and vitamins, and mothers will buy corresponding products according to the age of their babies, such as milk powder, strollers, safety ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/28G06Q30/02
CPCG06F16/283G06F16/285G06Q30/0201
Inventor 赫南朱顺孙振鹏杨旭陈英杰完灏胡景贺温园旭李慧倩李婵怡
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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