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User behavior prediction method and device and storage medium

A behavior and user technology, applied in marketing, data processing applications, instruments, etc., can solve problems such as difficult to obtain accurate prediction results, and achieve the effect of improving accuracy

Active Publication Date: 2019-06-07
BANK OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the prediction of user behavior by banking institutions is mainly based on relevant data reports, expert experience or a single data mining model. These methods are difficult to obtain accurate prediction results

Method used

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  • User behavior prediction method and device and storage medium
  • User behavior prediction method and device and storage medium
  • User behavior prediction method and device and storage medium

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Embodiment Construction

[0074] Embodiments of the present application provide a user behavior prediction method, device, and storage medium.

[0075] In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described The implementations are only some of the implementations of the present application, not all of them. Based on the implementation manners in this application, all other implementation manners obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0076] In order to be able to predict the target behavior of the target user, we need to build a target behavior prediction model first. Specifically, first use information gain and information gai...

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Abstract

The embodiment of the invention discloses a user behavior prediction method and device and a storage medium. The method comprises the steps of obtaining attribute data of an appointed attribute of a target user; inputting the attribute data of the specified attribute into the target behavior prediction model to obtain a target behavior prediction result of the target user. The target behavior prediction model is obtained through the following steps: obtaining user data of a sample set, wherein the user data comprises to-be-screened user attributes and user target behavior historical data; screening out a plurality of user attributes based on the information gain and the information gain ratio of the user attributes; determining a possibility estimated value of a target behavior of the userunder each user attribute, and further screening out a plurality of user attributes to form a specified attribute set; and training a preset machine learning model according to the user data corresponding to the specified attribute of the sample set. According to the embodiment of the invention, the accuracy of user behavior prediction can be improved.

Description

technical field [0001] The present application relates to the technical field of computer data processing, and in particular to a user behavior prediction method, device and storage medium. Background technique [0002] With the rise of Internet finance, the competition in the financial industry is becoming more and more fierce. If banking and financial institutions want to win in the competition, user service capabilities are particularly important; if they want to serve users well, they must analyze and predict user behavior, such as User churn prediction, user default prediction, user product preference analysis, etc., also put forward higher requirements for the accuracy of user behavior prediction. With high prediction accuracy, banks can more accurately identify user intentions, so as to make relevant responses in a timely manner, so as to improve the success rate of user retention, risk control, product marketing, etc., and greatly reduce the cost of banks. Obviously...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q40/02G06K9/62
Inventor 梁磊
Owner BANK OF CHINA
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