User equipment authentication method, device and equipment based on APP installation list grouping

Abstract

The invention relates to a user equipment authentication method based on APP installation list grouping. The method comprises the following steps: acquiring APP installation lists of a plurality of pieces of historical user equipment, wherein the APP installation lists comprise APP information installed on the plurality of pieces of historical user equipment; determining a feature matrix of the historical user equipment according to the APP information installed on the multiple pieces of historical user equipment; and grouping the plurality of historical user equipment according to the feature matrix of the historical user equipment to obtain group feature information of each historical user equipment, so that the obtained grouping result is more accurate, and it can be guaranteed that the group feature information of the users is almost consistent; and establishing and training a machine learning model based on the group feature information of each historical user equipment and the performance information of each historical user equipment in the Internet service, and authenticating the new user equipment applying for the Internet service by using the machine learning model, so that an authentication result obtained in this way is more accurate.

Description

technical field

[0001] The present disclosure relates to the field of computer information processing, in particular, to a user equipment authentication method, device, electronic equipment, and computer-readable medium based on APP installation list grouping. Background technique

[0002] With the rapid development of the Internet, more and more users apply for Internet services through user equipment. When a user applies for an Internet service, the identity of the user needs to be authenticated. At present, multiple users are grouped first to obtain multiple user groups. For example, the traditional methods for dividing user groups mainly fall into the following categories: 1. Grouping based on user qualifications, such as having a degree but not a degree, and having a card or no card; 2. Based on the performance period of users on the platform, such as new users, second-new users Group users and old users; 3. Group based on user channels, such as main process users, AP...

Examples

Embodiment Construction

[0031] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus their repeated descriptions will be omitted.

[0032] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or mo...

technical field

[0001] The present disclosure relates to the field of computer information processing, in particular, to a user equipment authentication method, device, electronic equipment, and computer-readable medium based on APP installation list grouping. Background technique

[0002] With the rapid development of the Internet, more and more users apply for Internet services through user equipment. When a user applies for an Internet service, the identity of the user needs to be authenticated. At present, multiple users are grouped first to obtain multiple user groups. For example, the traditional methods for dividing user groups mainly fall into the following categories: 1. Grouping based on user qualifications, such as having a degree but not a degree, and having a card or no card; 2. Based on the performance period of users on the platform, such as new users, second-new users Group users and old users; 3. Group based on user channels, such as main process users, AP...

Examples

Embodiment Construction

[0031] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus their repeated descriptions will be omitted.

[0032] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or mo...

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