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Method and device for predicting user behaviors

A user and behavioral technology, applied in the field of machine learning, can solve problems such as the limited effectiveness of feature combinations, and achieve the effect of improving effectiveness and accuracy

Pending Publication Date: 2019-09-20
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, currently the effectiveness of feature combinations is very limited

Method used

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  • Method and device for predicting user behaviors
  • Method and device for predicting user behaviors
  • Method and device for predicting user behaviors

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Experimental program
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Embodiment Construction

[0039] Multiple embodiments disclosed in this specification will be described below in conjunction with the accompanying drawings.

[0040]The embodiment of this specification discloses a method for predicting user behavior, which is implemented based on a new deep learning model (hereinafter also referred to as a prediction model, or a multi-layer neural network) designed by the inventor, through a new multi-layer neural network The network can effectively implement feature combination, and then obtain prediction results with high accuracy. Below, at first the idea of ​​designing a new multi-layer neural network by the inventor is introduced, and the design idea is as follows:

[0041] In the scenario of predicting user behavior, in order to improve the accuracy of the model, rich feature data are usually introduced, and at the same time, these feature data usually have a nonlinear relationship. In order for the model to complete the description of the nonlinear relationship...

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Abstract

The embodiment of the invention provides a method for predicting user behaviors. The method is executed based on a pre-trained multi-layer neural network. The multi-layer neural network at least comprises an input layer, a plurality of feature layers and an output layer, and the method comprises the steps that firstly, an original feature matrix is acquired on the input layer, the original feature matrix comprises a plurality of basic feature vectors corresponding to a plurality of basic features, and the plurality of basic features at least comprise user features related to a user; then, on the basis of the plurality of basic feature vectors, feature vector combination is carried out layer by layer in the plurality of feature layers; then, a final feature matrix is obtained at the output layer, a prediction result for user behavior is output based on the final feature matrix, and the final feature matrix is determined at least based on the result of the feature vector combination.

Description

technical field [0001] The embodiments of this specification relate to the field of machine learning, and in particular, relate to a method and device for predicting user behavior by using a machine learning model. Background technique [0002] Today, people are increasingly using various services provided by service platforms to users. Correspondingly, in order to improve the service experience of users, service platforms can choose to use predictive models to predict relevant behaviors of users when using services. Then, according to the prediction results, the service plan is customized for the user. For example, a news information website may determine the category and order of the news sections included in the news information page pushed to the user by predicting the click probability of a user on various news sections. For another example, a shopping website may determine whether to recommend a product to a user by predicting a user's degree of interest in a product....

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06N3/04
CPCG06Q10/04G06N3/045
Inventor 辛超崔卿向彪周俊
Owner ADVANCED NEW TECH CO LTD