Target user classification method, apparatus and system

A technology of target user and classification method, applied in the field of target user classification method, device and system, can solve the problem of low classification accuracy of target user, and achieve the effect of improving accuracy

Active Publication Date: 2016-12-07
CHINA MOBILE GROUP SHANDONG
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Embodiments of the present invention provide a target user classification method, device...

Method used

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  • Target user classification method, apparatus and system
  • Target user classification method, apparatus and system
  • Target user classification method, apparatus and system

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Embodiment 1

[0049] figure 2 The flow chart of the target user classification method provided in Embodiment 1 of the present invention specifically includes the following processing steps:

[0050] Step 201, building a feature attribute group.

[0051] In this embodiment, for a marketing service, the basic data of each user who has used the service in the previous period under the marketing service is used as the original sample data, and the basic data of each user is a piece of original sample data, and the preset data is randomly selected. The sample size of the original sample data is used as the training sample. The original sample data includes various characteristic attributes, combined with the data characteristics of the marketing service, select relevant characteristic attributes from all the characteristic attributes to form a characteristic attribute group. For example: taking mobile services as an example, the relevant characteristic attributes can be divided into several g...

Embodiment 2

[0070]Based on the same inventive concept, according to the method for classifying target users provided by the above-mentioned embodiments of the present invention, correspondingly, Embodiment 2 of the present invention also provides a device for classifying target users, the structural diagram of which is as follows image 3 shown, including:

[0071] The first determination unit 301 is configured to determine the probability of each user category in the training samples, and the conditional probability estimation of each feature attribute group under each user category, the probability of the user category is the number of training samples under the user category and The ratio of the total number of training samples, the conditional probability of the feature attribute group under each user category is estimated to be that in the training samples under the user category, each feature attribute in the feature attribute group satisfies the preset condition corresponding to the...

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Abstract

The invention discloses a target user classification method, apparatus and system. The method comprises the steps of determining a probability of each user category in training samples and a probability of each characteristic attribute group in each user category, wherein the probability of the characteristic attribute group in each user category is a ratio of the number of the training samples in which each characteristic attribute in the characteristic attribute group meets a preset condition corresponding to the characteristic attribute group to the number of the training samples of the user category in the training samples of the user category, and characteristic attribute groups are mutually independent; determining a posteriori probability of a to-be-classified target user in each category according to the determined probability of each user category and conditional probability estimation of each characteristic attribute group of each user by adopting a Bayesian formula; and determining a category corresponding to a maximum posteriori probability as a user category of the to-be-classified target user. With the adoption of embodiments of the method, the apparatus and the system, the accuracy of target user classification is improved.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to a target user classification method, device and system. Background technique [0002] Data mining technology has been widely used in recent years. Classification is one of the main contents of data mining technology. With the continuous improvement of related algorithms, classification algorithms have been applied in various fields. When banks, operators, supermarkets and other service industries promote new products or related activities, they will conduct targeted publicity to different users. Accurate target users are the basis of accurate marketing. Only certain types of targets in consumer groups can be determined. Users can carry out effective and targeted marketing affairs. Therefore, how to effectively classify target users has become the focus of various industries. [0003] The existing classification methods for classifying target users mainly use decisi...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06F17/30
Inventor 王晓磊王新印
Owner CHINA MOBILE GROUP SHANDONG
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