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Information pushing method, device and equipment and storage medium

A technology for information push and to-be-pushed, applied in the field of big data, it can solve problems such as low accuracy

Pending Publication Date: 2020-12-11
CHINA PING AN PROPERTY INSURANCE CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to solve the technical problem that the existing e-commerce platform pushes preferential information to target users with low accuracy

Method used

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  • Information pushing method, device and equipment and storage medium
  • Information pushing method, device and equipment and storage medium
  • Information pushing method, device and equipment and storage medium

Examples

Experimental program
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Embodiment Construction

[0070] An embodiment of the present invention provides an information push method, device, device, and storage medium. The information push method includes: constructing a user portrait of the target user according to the historical consumption behavior data of the target user; inputting the user portrait into In the preferential information prediction model corresponding to each preferential information to be pushed, the probability of applying each preferential information to be pushed by the target user is calculated; according to the probability and the cost corresponding to the type of preferential information to be pushed, calculate the value of each type of preferential information. The return value of the preferential information; according to the return value, determine the target preferential information from the preferential information to be pushed; push the target information to the merchant platform server, and send the target preferential information through the m...

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Abstract

The invention relates to the field of big data, and discloses an information pushing method and device, equipment and a storage medium, and the method is used for the precise information pushing of auser. The method comprises the steps: constructing a user portrait of a target user according to the historical consumption behavior data of the target user, inputting the user portrait into a discount information prediction model corresponding to each piece of to-be-pushed discount information, calculating the probability that the target user applies the to-be-pushed discount information, calculating a return value of each type of discount information according to the probability and the cost of the to-be-pushed discount information, determining target discount information from the to-be-pushed discount information according to the return value, and sending the target discount information to the user terminal of the target user through the merchant platform server. According to the method, the discount information can be accurately pushed to the user, the promotion return is maximized, and the activeness of merchant customers and the user stickiness are kept. In addition, the invention also relates to a blockchain technology, and the historical consumption behavior data can be stored in the blockchain.

Description

technical field [0001] The present invention relates to the field of big data, in particular to an information push method, device, equipment and storage medium. Background technique [0002] With the continuous development of Internet technology, consumers' consumption channels are becoming more and more diversified. Many consumers prefer to shop on e-commerce platforms rather than offline. However, due to the serious homogeneity of e-commerce platforms, how to ensure that users The retention rate of e-commerce platforms has become a concern of many e-commerce platforms, and an effective way to solve this problem is to provide consumers with preferential information, increase the frequency of users using their own e-commerce platforms, and improve user retention rates. [0003] Many e-commerce platforms still use the traditional method of spreading preferential information widely. The application rate of preferential information is low, and at the same time, it causes a was...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06F16/9535H04L29/08
CPCG06Q30/0239G06Q30/0201G06F16/9535H04L67/55
Inventor 郑海巍
Owner CHINA PING AN PROPERTY INSURANCE CO LTD
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