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Message traffic quality assessment method, electronic device, medium and program product

A quality assessment and traffic technology, applied in data processing applications, finance, forecasting, etc., can solve the problem of low accuracy of single-node traffic quality assessment, and achieve the effect of overcoming low accuracy and improving accuracy

Pending Publication Date: 2022-07-29
WEBANK (CHINA)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to provide a message flow quality assessment method, electronic equipment, media and program products, aiming to solve the technical problem of low accuracy of single-node flow quality assessment in the user conversion link in the prior art

Method used

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  • Message traffic quality assessment method, electronic device, medium and program product
  • Message traffic quality assessment method, electronic device, medium and program product
  • Message traffic quality assessment method, electronic device, medium and program product

Examples

Experimental program
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Effect test

Embodiment 1

[0023] An embodiment of the present application provides a method for evaluating message traffic quality. In the first embodiment of the method for evaluating message traffic quality in the present application, refer to figure 1 , the message traffic quality assessment method includes:

[0024] Step S10, obtaining user traffic data corresponding to the target conversion node in the user conversion link, and determining a traffic quality prediction model corresponding to the target conversion node, wherein the traffic quality prediction model is obtained by optimizing based on the link conversion degree label;

[0025] Step S20: Evaluate the user traffic quality of the target conversion node according to the user traffic data and the traffic quality prediction model, and obtain a traffic quality evaluation result.

[0026] In this embodiment, the message may be an advertisement, and the user conversion link is the entire process from the exposure node that exposes the message t...

Embodiment 2

[0064] Further, refer to figure 2 , based on the above-mentioned first embodiment, in another embodiment of the method for evaluating message traffic quality of the present application, the information related to the conversion intention includes the conversion depth and conversion consumption time information of the historical user on the user conversion link , the step of performing label calibration on the historical user characteristic data according to the relevant information of the historical user's conversion willingness on the user conversion link, and obtaining the link conversion degree label includes:

[0065] Step A21, according to the conversion depth and the conversion consumption time information, evaluate the conversion willingness of the historical user on the user conversion link, and obtain a conversion willingness score;

[0066] Step A22: According to the conversion willingness score, label the historical user characteristic data to obtain the link conve...

Embodiment 3

[0096] An embodiment of the present application further provides a message traffic quality assessment device, where the message traffic quality assessment device includes:

[0097] The acquisition module is used to acquire the user traffic data corresponding to the target conversion node in the user conversion link, and determine the traffic quality prediction model corresponding to the target conversion node, wherein the traffic quality prediction model is optimized based on the link conversion degree label to obtain ;

[0098] A traffic quality prediction module, configured to evaluate the user traffic quality of the target conversion node according to the user traffic data and the traffic quality prediction model, and obtain a traffic quality evaluation result.

[0099] Optionally, the message traffic quality assessment device is further configured to:

[0100] Obtain the historical user feature data corresponding to the traffic quality prediction model to be trained and h...

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Abstract

The invention discloses a message traffic quality evaluation method, electronic equipment, a medium and a program product, and the message traffic quality evaluation method comprises the steps: obtaining user traffic data corresponding to a target conversion node in a user conversion link, and determining a traffic quality prediction model corresponding to the target conversion node, the traffic quality prediction model is obtained through optimization based on a link conversion degree label; and evaluating the user traffic quality of the target conversion node according to the user traffic data and the traffic quality prediction model to obtain a traffic quality evaluation result. According to the method and the device, the technical problem of low accuracy of single-node traffic quality evaluation in a user conversion link in the prior art is solved.

Description

technical field [0001] The present application relates to the artificial intelligence technology field of financial technology (Fintech), and in particular, to a message traffic quality assessment method, electronic device, medium and program product. Background technique [0002] With the continuous development of financial technology, especially Internet technology finance, more and more technologies (such as distributed, artificial intelligence, etc.) are applied in the financial field, but the financial industry has also put forward higher requirements for technology, such as financial The industry also has higher requirements for the distribution of to-do items. [0003] With the continuous development of artificial intelligence, the application of artificial intelligence is becoming more and more extensive. At present, in the field of message recommendation, the quality of the user traffic of the current user conversion node is usually evaluated by the indicators of th...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q40/06
CPCG06Q10/06395G06Q10/04G06Q40/06
Inventor 郑楚涛罗夏雨张晓军邹少馨郑文琛
Owner WEBANK (CHINA)
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