Data processing method and related device

A parameter and probability technology, applied in the field of data processing methods and related devices, can solve the problems of non-conversion of reservation users, reduced content push effect, and user's actual response, etc., to achieve the effect of enhancing the learning of delayed conversion

Active Publication Date: 2021-12-31
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, this positive example may be converted after the new product is launched. However, in many cases, the actual reaction of users after the new product is launched is not as popular as when making an appointment. As a result, a large proportion of reserved users do not actually convert. Some of the positive examples for training the booking model are actually not positive exampl...

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  • Data processing method and related device
  • Data processing method and related device
  • Data processing method and related device

Examples

Experimental program
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Effect test

example 1

[0170] Example 1: The product to be promoted is a new game application.

[0171] Based on the fact that the new game application belongs to the real-time strategy type, at least one old game application (that is, a game application that has been online for a period of time) that also belongs to the real-time strategy type is determined as the target product, and the old game application can be identified by pushing data from the historical content of the old game application. The advertisement push time of the user whose history is pushed of the application, and the historical game download time of the user whose history is pushed.

[0172] The initial survival model is trained according to the user characteristics of the historically pushed users, and based on the time relationship between the historical game download moment and multiple time periods, a corresponding first survival model is trained for the new game application.

[0173] In the early stage of the promotion of ...

example 2

[0176] Example 2: The product to be promoted is new media content, such as an upcoming TV series.

[0177] Based on the fact that the new TV series belongs to the genre of fantasy, determine at least one old media content (such as TV dramas and movies that have been online for a period of time) that also belongs to the genre of fantasy as the target product. The history of media content is pushed to the user's advertisement push time, and the time when the history is pushed to the user's viewing, downloading of old media content, or the time of recharging and paying for old media content.

[0178] The initial survival model is trained according to the user characteristics of the historically pushed users, and based on the above-mentioned time relationships between various historical moments and multiple time periods, a corresponding first survival model is trained for the new TV series.

[0179] In the initial stage of promotion of a new TV series, the first survival model can...

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Abstract

The embodiment of the invention discloses a data processing method and a related device. The historical content push data of a target product having correlation with a to-be-promoted product is acquired for the to-be-promoted product, through the historical content push moment and the historical actual conversion moment in the historical content push data, information about how long the historical pushed object is converted after the content is pushed can be obtained, when a survival model is trained based on the object features of the historical pushed object, the data dimension of the conversion duration is introduced, the probability that the object is converted in a plurality of continuous time periods is concerned, the problem of conversion is converted into the problem of delayed conversion, learning of the survival model on delayed conversion in the time dimension is enhanced, decoupling of strong correlation between original historical content push data and a target product is achieved, and in a cold start stage, the first survival model obtained through training can temporarily replace a conversion rate model to provide prediction of the conversion rate for the product to be promoted.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a data processing method and related devices. Background technique [0002] For a new product, it is necessary to increase the exposure of the product through the Internet through content push, etc., so that a large number of users can learn about the product through the pushed content in a short period of time, so as to quickly increase the audience of the product and promote the product. Conversion rate (or clickthrough rate, CVR) is a measure of the probability of successfully converting a user through content push. Successful conversion usually refers to the user's behavior of obtaining the product corresponding to the content. If the conversion rate corresponding to the user can be accurately predicted before the content is pushed, It can effectively improve the efficiency of content push, and increase the audience of new products as much as possible with limited pus...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06N3/08
CPCG06Q30/0255G06Q30/0277G06N3/08
Inventor 夏乔林成昊
Owner TENCENT TECH (SHENZHEN) CO LTD
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