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User feature extraction method and device, electronic equipment and readable storage medium

A technology of user characteristics and extraction methods, applied in the field of information processing, to achieve the effect of accurate user portraits and guaranteeing security

Pending Publication Date: 2020-09-15
CHINA CITIC BANK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the App list of the user's mobile phone contains the user's private information. How to obtain user portraits or extract user characteristics based on the APP information of the user's mobile phone without revealing privacy has become a problem

Method used

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  • User feature extraction method and device, electronic equipment and readable storage medium
  • User feature extraction method and device, electronic equipment and readable storage medium
  • User feature extraction method and device, electronic equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] The embodiment of this application provides a user feature extraction method, which is applied to the terminal device side, such as figure 1 As shown, the method may include the following steps:

[0056] Step S101, acquiring at least two application names of the target user;

[0057] Specifically, the name of the application installed by the target user on the terminal device can be obtained by invoking or querying the application registry of the terminal device; as another implementation method, a screenshot of the terminal device screen can be obtained, and then the terminal device installation can be obtained by identifying the image recognition method. The application information; where at least two application names can be obtained.

[0058] Wherein, the terminal device may be a mobile phone, a PAD, or a wearable device (smart watch, smart glasses, etc.).

[0059] Step S102, acquiring application introduction information of each application based on each applicatio...

Embodiment approach

[0089] The first one is to determine the weight of the application according to the download volume of the application, and the second one is to determine the weight of the application according to the last use (or installation) time of the application. The smaller the weight of the user's personalized features should be, and the longer the last time the application is used, the smaller the weight should be;

[0090] Such as Figure 5 As shown, the third one adopts the self-attention mechanism, that is, the k-th app weight bk is calculated through the deep neural network according to the introduction information of the application, and bk is multiplied by ak after normalization. Examples of deep networks include RNN, LSTM, or other text classification networks, which only need to satisfy the input as text and the output as a probability value from 0 to 1 (the text network using sigmoid as the final activation function meets the requirements. This "self-attention The "mechanis...

Embodiment 2

[0096] figure 2 An apparatus for extracting user features provided by an embodiment of the present application, the apparatus 20 includes: a first acquisition module 201, a second acquisition module 202, a first determination module 203, and a second determination module 204, wherein,

[0097] The first acquisition module 201 is configured to acquire at least two application names of the target user;

[0098] The second acquiring module 202 is configured to acquire application introduction information of each application based on each of the application names;

[0099]The first determining module 203 is configured to determine the feature vector of each application based on the application introduction information of each application;

[0100] The second determining module 204 is configured to determine target user characteristics of the target user based on the feature vectors of each application.

[0101] The embodiment of the present application provides a user feature e...

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Abstract

The invention provides a user feature extraction method and device, electronic equipment and a readable storage medium. The method is applied to the technical field of information processing. The method comprises the following steps: obtaining application name information, and determining the user characteristics based on the application name information, which are carried out on the terminal equipment side. The risk of user information leakage caused by uploading the application name to the server is avoided; moreover, the user feature information is obtained based on weighted aggregation ofat least two application feature vectors, and even if the extracted user features are uploaded to the server, the application information of the user cannot be reversely deduced based on the uploadeduser features, so that the security of the user information is further ensured.

Description

technical field [0001] The present application relates to the technical field of information processing, and in particular, the present application relates to a user feature extraction method, device, electronic equipment and readable storage medium. Background technique [0002] With the widespread use of smart phones, apps are downloaded, installed and used more frequently. Different users use different apps, and these apps can describe the user's social interests, living needs, consumption habits, property, loans, etc. to a certain extent. For example, if a user downloads an intermediary app, it indicates that the app has a need for real estate transactions or consumption in the near future, and if the user downloads an app related to funds, it indicates that the user may have a need for financial management. [0003] However, the App list of the user's mobile phone contains the user's private information, and how to obtain user portraits or extract user characteristics ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F40/289G06N3/04G06N3/08G06F16/9535G06F21/62
CPCG06F16/334G06F16/3334G06F40/289G06N3/08G06F16/9535G06F21/6245G06N3/045
Inventor 赖勇铨
Owner CHINA CITIC BANK
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