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User portrait generation method and device based on privacy protection and storage medium

A privacy protection and user technology, applied in digital data protection, computer security devices, instruments, etc., can solve the problems of increasing user data screening process, insufficient accuracy and comprehensiveness of user portraits, etc., to protect personal data privacy and enrich data source, effect of increasing fit

Pending Publication Date: 2020-09-15
CHINA PING AN PROPERTY INSURANCE CO LTD
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AI Technical Summary

Problems solved by technology

[0008] The present invention provides a user portrait generation method, system, electronic device and computer-readable storage medium based on privacy protection, which mainly utilizes the feature that the data of federated learning can increase the dimension of data information without data exchange, and increases the federated Learn the screening process of user data, and solve the problem of insufficient accuracy and comprehensiveness of user portraits

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  • User portrait generation method and device based on privacy protection and storage medium
  • User portrait generation method and device based on privacy protection and storage medium
  • User portrait generation method and device based on privacy protection and storage medium

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Embodiment Construction

[0056] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0057] In the process of constructing user analysis portraits, due to the single dimension of data information, which can only cover the main business characteristics of a single enterprise, the generated user portraits are not comprehensive and accurate; if you want to increase the dimension of data information, but due to the national data protection provisions And each company's own strict regulations on data limit the sharing of data information.

[0058] A user portrait generation method based on privacy protection, which improves the matching degree between the second-party data set and the first-party data set in federated learning by increasing the screening process of user portrait data, and integrates the first-party, second-party and third-party After federated learning, a multi-faceted and more comprehensi...

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Abstract

The invention relates to artificial intelligence, and provides a user portrait generation method and device based on privacy protection, and a storage medium, and the user portrait generation method comprises the steps: obtaining the combined feature user data of a target user through a longitudinal federated learning model; forming classification data for the obtained combined characteristic userdata according to a set dimension, and generating a data file from the classification data; and performing data mining on the data file by utilizing a big data platform to obtain individual analysisparameters and global parameters of the target user, and describing a user portrait of the target user according to the individual analysis parameters and the global parameters. The invention also relates to a blockchain technology, and the combined feature user data can be stored in the blockchain. According to the user portrait generation method, by screening the providers of the data set, the federated learning efficiency is improved, and the technical effect of improving the integrating degree of the user portrait data is achieved.

Description

technical field [0001] The present invention relates to artificial intelligence, and in particular to a method, system, device and storage medium for generating user portraits based on privacy protection. Background technique [0002] User portraits are based on data such as business systems, event systems, and relationship information, and through machine / deep learning related models, to describe and outline the characteristics of users. However, due to the lack of information categories, the data can only cover the main business characteristics of the enterprise itself, and the comprehensiveness and accuracy of the formed user portrait model are not high. [0003] In order to build a more accurate user portrait model, companies often exchange data with other companies to increase the dimension of data information. However, with the sensation caused by the Facebook data leakage incident, countries have successively promulgated data privacy protection regulations, such as t...

Claims

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Application Information

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IPC IPC(8): G06F16/906G06F21/62G06K9/62G06N20/00
CPCG06F16/906G06F21/6245G06N20/00G06F2216/03G06F18/24G06F18/214
Inventor 徐杰
Owner CHINA PING AN PROPERTY INSURANCE CO LTD
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