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User recommendation method and device, readable storage medium and electronic equipment

A recommendation method and user technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as low efficiency, cumbersome operations, and request errors

Active Publication Date: 2020-04-28
NEUSOFT CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the current enterprise social software, if a user wants to request to add other users as friends, he needs to accurately enter the other user's information, such as name, job number or mobile phone number, etc., and then click to find out. For other users, the operation is very cumbersome and inefficient
Moreover, when there is an employee with the same name in the enterprise, or when the user does not know the unique information such as the other user's job number and mobile phone number, there may be a request error

Method used

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  • User recommendation method and device, readable storage medium and electronic equipment
  • User recommendation method and device, readable storage medium and electronic equipment
  • User recommendation method and device, readable storage medium and electronic equipment

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Embodiment Construction

[0065] In related technologies, friend recommendation is usually performed according to the degree of correlation between personal feature information of users. For example, if two non-friend users have the same hobbies, one user is recommended to another user. Alternatively, user recommendation is performed according to the degree of friend association between users. For example, if two non-friend users have a common friend, one user is recommended to the other user. These two recommendation methods may achieve relatively high recommendation accuracy in daily social applications, but when applied to enterprise social applications, the recommendation accuracy is not high.

[0066] The inventor discovered this problem, and found through research that the reason for the low accuracy is that none of the above methods take into account the organizational correlation between users. In fact, users in enterprise social applications usually belong to the same enterprise, and most of...

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PUM

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Abstract

The invention relates to a user recommendation method and device, a readable storage medium and electronic equipment. The method comprises the following steps: according to a currently logged-in useraccount, determining a target user node corresponding to the user account in a friend relationship subnet, and determining a first distance between the target user node and at least one other user node which is not connected with the target user node in the friend relationship subnet; determining a second distance between the target user node and the at least one other user node according to the organization relationship subnet; determining a recommended user at least according to the first distance and the second distance; and sending the user information of the recommended user to the terminal, so that the terminal displays the user information through an enterprise social application. Therefore, the time required for adding friends among users can be shortened to a certain extent, the user operation is reduced, and the user experience is improved.

Description

technical field [0001] The present disclosure relates to the field of computer software, in particular, to a user recommendation method, device, readable storage medium and electronic equipment. Background technique [0002] With the rapid development of mobile Internet technology, the use of enterprise social software is becoming more and more common. For enterprises, enterprise social software facilitates enterprise management, and for employees, enterprise social software facilitates mutual communication. [0003] In the current enterprise social software, if a user wants to request to add other users as friends, he needs to accurately enter the other user's information, such as name, job number or mobile phone number, etc., and then click to find out. For other users, the operation is very cumbersome and inefficient. Moreover, when there is an employee with the same name in the enterprise, or when the user does not know the unique information such as the job number and...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06Q50/00
CPCG06F16/9536G06Q50/01
Inventor 祖立金李健王伟光
Owner NEUSOFT CORP
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