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Machine learning model training method, device, storage medium and computer device

A machine learning model and model training technology, applied in the computer field, can solve problems such as inaccurate predictions, and achieve the effect of improving accuracy and obvious effects

Active Publication Date: 2019-02-15
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide a machine learning model training method, device, storage medium and computer equipment for the problem of inaccurate predictions that may occur when using a machine learning model trained by a traditional method for recommendation prediction.

Method used

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  • Machine learning model training method, device, storage medium and computer device
  • Machine learning model training method, device, storage medium and computer device
  • Machine learning model training method, device, storage medium and computer device

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Embodiment Construction

[0026] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0027] like figure 1 As shown, in one embodiment, a machine learning model training method is provided. This embodiment is mainly described by taking the method applied to computer equipment as an example. Specifically, the computer device may be a server or a terminal. refer to figure 1 , the machine learning model training method specifically includes the following steps:

[0028] S102. Obtain model training data and corresponding labels; the model training data includes feature data of user samples and feature data of recommended object samples.

[0029] Wherein, t...

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PUM

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Abstract

A machine learning model training method, apparatus, storage medium and compute device are disclosed. That method includes: obtaining model training data and correspond tag; The model training data includes feature data of a user sample and feature data of a recommended object sample; Determining a weight of the model training data according to a generation time of the model training data; Inputting the model training data into a machine learning model to obtain a user behavior prediction result corresponding to the user sample and the recommendation object sample; Determining a training target according to a difference between the user behavior prediction result and the tag and the weight; According to the direction of optimizing the training objective, the model parameters of the machinelearning model are adjusted and the training is continued until the training is finished when the training stopping condition is satisfied. The prediction effect of the machine learning model trainedby the scheme provided by the present application is good.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a machine learning model training method, device, storage medium and computer equipment. Background technique [0002] With the development of computer technology, in the process of recommending objects, machine learning models are usually used to make recommendation predictions for recommended objects. Before using a machine learning model to make recommendation predictions on recommended objects, it is necessary to train a machine learning model for recommendation prediction. [0003] However, in the traditional machine learning model training process, the differences between training samples are not taken into account, resulting in inaccurate predictions when using the machine learning model trained by traditional methods for recommendation prediction. Contents of the invention [0004] Based on this, it is necessary to provide a machine learning model training ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06Q30/0255G06Q30/0271G06N3/045G06F18/2413
Inventor 谭奔牟蕾尤爱华刘大鹏肖磊
Owner TENCENT TECH (SHENZHEN) CO LTD
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