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Friend-making recommendation method based on user information, electronic device and storage medium

A technology of user information and recommendation methods, applied in the field of data recommendation, can solve the problems of low adaptability and low accuracy of social recommendation, achieve the effect of improving adaptability and accuracy, and avoiding waste of network and system resources

Inactive Publication Date: 2020-05-29
深圳市爱聊科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the above, the present invention provides a friend recommendation method based on user information, an electronic device and a storage medium, the purpose of which is to solve the problems of low adaptability and low accuracy of social recommendation in the prior art

Method used

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  • Friend-making recommendation method based on user information, electronic device and storage medium
  • Friend-making recommendation method based on user information, electronic device and storage medium

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Embodiment Construction

[0032] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0033] figure 1 Shown is a schematic diagram of a preferred embodiment of the electronic device 1 of the present invention.

[0034] The electronic device 1 includes but not limited to: a memory 11 , a processor 12 , a display 13 and a network interface 14 . The electronic device 1 is connected to the network through the network interface 14 to obtain raw data. Wherein, the network may be...

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Abstract

The invention relates to a data recommendation technology, and provides a friend-making recommendation method based on user information, an electronic device and a storage medium. The method comprisesthe steps of obtaining related information of a current user and a to-be-recommended condition preset by the user, wherein the related information comprises attribute feature information and image feature information; based on the attribute feature information and a to-be-recommended condition, utilizing a first preset algorithm to screen out a first target user group meeting a to-be-recommendedcondition from a preset user information database, and recommending the first target user group to a first preset friend-making list of the user, searching a second target user group matched with theimage feature information of the user from the user information database by using a second preset algorithm based on the image feature information of the user, and recommending the second target usergroup to a second preset friend-making list of the user. By utilizing the method and the device, the fitness and the accuracy of friend-making recommendation can be improved, so that the user can finda proper friend-making object in massive users of the social network.

Description

technical field [0001] The present invention relates to the technical field of data recommendation, in particular to a friend recommendation method based on user information, an electronic device and a storage medium. Background technique [0002] The cold start problem of the existing social network dating software is serious, and the number of users of the social network is huge, which makes it difficult for users to find suitable social objects from the social network. The existing friend recommendation method recommends friends for users according to their characteristics, but the user characteristics can be divided into multiple types of users according to different dimensions, and different types of users have different social needs. The existing friend recommendation methods cannot accurately Identifying the user's social needs leads to a low degree of adaptation between the recommended friend user and the user's social needs, making it difficult for the user to find ...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06Q50/00G06K9/00G06K9/62
CPCG06F16/9536G06Q50/01G06V40/172G06V10/751G06F18/23
Inventor 杨扬
Owner 深圳市爱聊科技有限公司
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