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Target user group prediction model construction method based on machine learning

A technology for predicting models and target users, applied in machine learning, computing models, instruments, etc., can solve problems such as heavy workload and low accuracy of prediction results, achieve strong adaptability to changes, reduce subjective emotional judgment, and avoid model outdated. Effect

Pending Publication Date: 2022-07-29
郑州简信软件科技有限公司
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a method for constructing a target user group prediction model based on machine learning, which is used to solve the problems of low accuracy and heavy workload of the existing data model prediction results, and realize accurate and efficient target user group prediction

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  • Target user group prediction model construction method based on machine learning
  • Target user group prediction model construction method based on machine learning
  • Target user group prediction model construction method based on machine learning

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Embodiment 1

[0043] Embodiment 1: A method for constructing a prediction model for a target user group based on machine learning, see figure 1 , including the following steps:

[0044] S1. Select or construct a sample user data set, where the sample user data set includes demographic attributes, interest characteristics, consumption characteristics, location characteristics, device attributes, behavior data, social data, etc. of the sample.

[0045] The acquisition method of the sample data set described in step S1 includes two construction methods, a connection database unit and a data import unit. The connection database unit includes docking the user feature database source to obtain real-time data, and the data import unit is to import the historical data obtained by sorting through different channels. into the user feature dataset.

[0046] S2. Perform data set preprocessing on the target user data set obtained in step S1 to form a user feature data set.

[0047] see figure 2 , th...

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Abstract

The invention discloses a target user group prediction model construction method based on machine learning, and the method comprises the following steps: S1, selecting or constructing a sample user data set which comprises a population attribute, an interest feature, a consumption feature, a position feature, an equipment attribute, behavior data and social data of a sample; s2, performing data set preprocessing work on the target user data set obtained in the step S1 to form a user feature data set; s3, based on the sample user feature data set obtained in the step S2, 70%-90% of the data set is used as a training set for prediction model training; and S4, performing model evaluation on the prediction model obtained by training. The target user group prediction model based on machine learning constructed by the invention is high in change adaptation capability, can meet the requirement of quickly training a data model for a service system to use, and can also be quickly evolved according to the change of the characteristics of a data set to avoid outdated model.

Description

technical field [0001] The invention relates to the technical field of user group data analysis and prediction, in particular to a method for constructing a target user group prediction model based on machine learning. Background technique [0002] At present, in the field of user group data analysis and prediction technology, the common method is to classify users through a fixed data model. In the early stage of data model establishment, it is simple and efficient. Due to the static nature of the data model, the data model will Changes in data parameters, market and other factors lead to lower and lower accuracy. When the accuracy is found to be lower, artificial adjustment of a large number of data models will increase the workload, and the objective accuracy of the data model cannot be guaranteed. SUMMARY OF THE INVENTION [0003] The technical problem to be solved by the present invention is to provide a method for constructing a target user group prediction model bas...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06N20/00
CPCG06Q30/0202G06N20/00
Inventor 段定康赵凡郭松超屈行行杨翀
Owner 郑州简信软件科技有限公司
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