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User behavior prediction method and device, behavior prediction model training method and device

A behavior and model technology, applied in the field of user behavior prediction method and device, behavior prediction model training method and device, can solve the problem of low accuracy and achieve the effects of improved accuracy, low computational complexity, and good prediction effect

Active Publication Date: 2021-11-30
HUAWEI TECH CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides a user behavior prediction method and device, a behavior prediction model training method and device, which can solve the problem of low accuracy of behavior prediction methods in related technologies

Method used

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  • User behavior prediction method and device, behavior prediction model training method and device
  • User behavior prediction method and device, behavior prediction model training method and device
  • User behavior prediction method and device, behavior prediction model training method and device

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Embodiment Construction

[0067] The user behavior prediction method provided by the embodiment of the present invention can be applied to an object push system, and the object push system can be deployed in a server. The server establishes communication connections with multiple terminals through a wired network or a wireless network, and can push objects such as application programs, news or advertisements to users of each terminal. Wherein, the server may be a server, or a server cluster composed of several servers, or a cloud computing service center. The terminal may be a smart phone, a desktop computer, a notebook computer, a tablet computer, or a wearable device.

[0068] Optionally, the object push system may include a personalized recommendation system, a precise advertisement delivery system, and the like. Wherein, the personalized recommendation system may recommend objects such as application programs and media content (such as video, news or music, etc.) to the user of the terminal. The ...

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Abstract

The present application provides a user behavior prediction method and device, a behavior prediction model training method and device, which belong to the field of big data processing. After the user behavior prediction method obtains behavior prediction information including multiple feature data, the first contribution value of each feature data to the specified behavior can be respectively obtained, and for every N feature data in the multiple feature data, it can be Each of the N pieces of feature data is processed by using a corresponding feature interaction model to obtain a second contribution value of each of the N pieces of feature data to the specified behavior. Finally, the execution probability of the specified behavior may be determined according to the obtained first contribution value and the second contribution value. Since the method provided in the present application takes into account the interactive influence of multiple feature data on the specified behavior when predicting the specified behavior, the accuracy of behavior prediction is effectively improved.

Description

technical field [0001] The present application relates to the field of big data processing, and in particular to a user behavior prediction method and device, and a behavior prediction model training method and device. Background technique [0002] User behavior prediction is a technology that predicts user behavior based on behavior prediction information (such as user attribute data, current environment data, and attribute data of the execution object of the behavior, etc.). This user behavior prediction technology is widely used in personalized recommendations and advertisements. Precise delivery and other fields. [0003] In related technologies, a linear regression model (Linear Regression model, LR model) is usually used to predict user behavior. For the behavior prediction information of a specified behavior, the LR model can calculate the contribution value of each feature data in the behavior prediction information to the specified behavior, and then accumulate the...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02
CPCG06N3/04G06Q10/04G06Q30/0271G06F17/16G06N3/063G06F18/214G06N3/047G06N3/044
Inventor 唐睿明钮敏哲曲彦儒张伟楠俞勇
Owner HUAWEI TECH CO LTD
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