Data propagation method and device based on graph data and back propagation algorithm and electronic equipment

A backpropagation algorithm and data dissemination technology, applied in market data collection, data processing applications, neural learning methods, etc., can solve the problems of missing characteristic data, less precise marketing methods of telecom big data, and no application, etc., to reduce Marketing cost, simple calculation method, and the effect of improving utilization rate

Pending Publication Date: 2020-05-26
北京淇瑀信息科技有限公司
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Problems solved by technology

[0005] Although there have been some applications of big data in precision marketing, there are still relatively few precision marketing methods for telecom big data. The main reason is that telecom operators will not casually disclose users’ telecom data in order to protect user privacy.
In addition, in the large amount of data used for data analysis, some user feature data are missing, and the feature data of this part of users with missing data has not been applied in fact, especially in the relationship network graph data. Missing data, which brings many problems to the model calculation

Method used

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  • Data propagation method and device based on graph data and back propagation algorithm and electronic equipment
  • Data propagation method and device based on graph data and back propagation algorithm and electronic equipment
  • Data propagation method and device based on graph data and back propagation algorithm and electronic equipment

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Embodiment 1

[0044] Below, will refer to Figure 1 to Figure 5 Describe the data propagation method based on graph data and backpropagation algorithm of the present invention.

[0045] figure 1 It is a flow chart of the data propagation method based on graph data and backpropagation algorithm of the present invention. Such as figure 1 As shown, a data propagation method based on graph data and backpropagation algorithm, the data propagation method includes the following steps.

[0046] In step S101, historical user behavior characteristic data and financial performance data are acquired, and the financial performance data is used to measure the user's performance on financial products.

[0047] Specifically, the behavior feature data includes user-to-user behavior data and financial behavior data. In this implementation, the user-to-user behavior feature data includes call behavior data, wherein the call behavior data is used to represent statistical information on calls between users. ...

Embodiment 2

[0084] An apparatus embodiment of the present invention is described below, and the apparatus can be used to execute the method embodiment of the present invention. The details described in the device embodiments of the present invention should be regarded as supplements to the above method embodiments; details not disclosed in the device embodiments of the present invention can be implemented by referring to the above method embodiments.

[0085] refer to Figure 6 and Figure 7 , the present invention also provides a data dissemination device 500, the data dissemination device 500 includes: a data acquisition module 501, which is used to acquire historical user behavior characteristic data and financial performance data, the financial performance data is used to measure the user's interest in The performance of financial products; the training module 502 uses the historical user's behavior characteristic data and financial performance data to train a machine self-learning f...

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PUM

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Abstract

The invention provides a data propagation method and device based on graph data and a back propagation algorithm and electronic equipment. The method comprises the steps of obtaining behavior characteristic data and financial performance data of a historical user, wherein the financial performance data is used for measuring performance of the user on a financial product; training a financial evaluation model by using the behavior characteristic data and the financial performance data of the historical users; obtaining basic information of the target user and a behavior relationship network diagram of the target user, and determining behavior characteristic data of the target user according to the behavior relationship network diagram of the target user through a back propagation algorithm;taking the behavior characteristic data of the target user as input characteristics of a financial evaluation model, and calculating a financial evaluation value of the target user; and sending customized data to the target user based on the financial evaluation value of the target user. According to the invention, corresponding customized data can be sent to various users more accurately, the efficiency is improved, and the marketing cost is reduced.

Description

technical field [0001] The present invention relates to the communication field, in particular, to a data propagation method, device and electronic equipment based on graph data and backpropagation algorithm. Background technique [0002] With the vigorous development of mobile communications, telecom operators can process and store more and more telecom data. In order to efficiently find target users, many companies and enterprises have begun to cooperate with telecom operators to obtain their telecom data for analysis and analysis. After the results are obtained, they will be fed back to the cooperative merchants for precise marketing. [0003] In the related art, regarding the sales case of diapers and beer in a certain supermarket, people found an interesting phenomenon: diapers and beer, which are two irrelevant commodities, are actually placed together. But this strange move actually led to a huge increase in sales of diapers and beer. The essence of the matter is th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q40/06G06Q50/30G06N3/08
CPCG06Q30/0201G06Q30/0202G06Q40/06G06Q50/30G06N3/084
Inventor 杨博闻王安滨常富洋
Owner 北京淇瑀信息科技有限公司
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