Sample acquisition method and device applied to model training, equipment and storage medium

A training sample and model training technology, applied in the field of data processing, can solve problems such as poor prediction effect, high cost of sample acquisition for promotional modeling, and easy deviation of the promotional model, so as to reduce the cost of acquisition

Active Publication Date: 2019-12-03
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the promotion modeling of game applications often requires a large amount of player data, the effect of promotion modeling through the former method is better, but the sample acquisition cost for promotion modeling is relatively high
Although generalization modeling in the latter way can easily obtain a...

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  • Sample acquisition method and device applied to model training, equipment and storage medium
  • Sample acquisition method and device applied to model training, equipment and storage medium
  • Sample acquisition method and device applied to model training, equipment and storage medium

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Embodiment Construction

[0023] Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0024] With the development of Internet information technology, the promotion of Internet applications is becoming more and more intelligent. For example, the promotion coefficient of the users to be promoted can be predicted through the machine learning model. The acceptance of Internet applications is also relatively high. By promoting Internet applications to users with high promotion coe...

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Abstract

The embodiment of the invention discloses a sample acquisition method and a device applied to model training. The method comprises the following steps: randomly sampling a data source to obtain a training sample set; training the model according to the training sample set to obtain a prediction error rate of the training sample set; re-determining the sampling rate of the data source according tothe prediction error rate, and sampling the data source according to the re-determined sampling rate to obtain an updated training sample set; iteratively executing the steps of training the model according to the updated training sample set, re-determining the sampling rate of the data source according to the obtained prediction error rate, and obtaining the updated training sample set accordingto the re-determined sampling rate; and obtaining the updated training sample set as a target sample set. According to the method of the embodiment of the invention, the target sample set close to thefeature distribution of the prediction sample set can be selected from the data source, and the target sample set is used for training the model.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular, to a sample acquisition method, device, device, and computer-readable storage medium applied to model training. Background technique [0002] With the rapid development of Internet information technology, there are more and more Internet applications. In order to broaden the audience of Internet applications and make Internet applications bring higher profits to enterprises, it is necessary to promote Internet applications to more users. [0003] In the early stage of Internet application promotion, such as game applications, in the absence of initial players, the feedback data of the first batch of players obtained through game promotion is required as a sample for promotion modeling, or the player data of similar game applications is used as a sample. samples for generalization modeling. Since promotional modeling of game applications often requires a large amo...

Claims

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Application Information

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IPC IPC(8): G06Q30/02A63F13/79
CPCA63F13/79G06Q30/0277
Inventor 王星雅
Owner TENCENT TECH (SHENZHEN) CO LTD
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