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Method and system for recommending users in SNS community

A technology for recommending users and users, applied in the network field, can solve problems such as time-consuming, experience-degrading, and long-term cycles, and achieve the effect of saving time and reducing computing burden

Inactive Publication Date: 2013-12-04
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional way of recommending people you may know is to use the offline calculation method after obtaining user information from the server. Due to the large amount of information and the huge amount of calculation, it takes a long time to update and calculate each time, and it needs to be calculated according to this time period for each user. Once, like this, it takes a lot of time, and increases the computing burden of the computer, it is not convenient for users to keep abreast of the information of people who may know people after the update, and reduces the user experience

Method used

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  • Method and system for recommending users in SNS community
  • Method and system for recommending users in SNS community
  • Method and system for recommending users in SNS community

Examples

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Embodiment Construction

[0042] The method for recommending users in the SNS community and the technical solution of the system will be described in detail below in conjunction with specific embodiments and accompanying drawings, so as to make it more clear.

[0043] Such as figure 1 As shown, in one embodiment, a method for recommending users in an SNS community includes the following steps:

[0044] In step S110, the client acquires the update information of the user, and reports the update information to the server in real time.

[0045] Specifically, in the SNS community, the user's update information may include the user's personal attribute information and / or the user's friendship chain information. Among them, the user's personal attribute information may include gender, age, constellation, blood type, graduate school, major studied, graduation time, native place, location, industry engaged in, hobbies, etc. The user's friend relationship chain information includes newly added friend relation...

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Abstract

The invention relates to a method and system for recommending users in an SNS community. The method comprises the steps that a client-side acquires update information of users and uploads the update information to a server in real time; the server calculates in an on-line mode to obtain the information of to-be-recommended users according to the update information; the client-side obtains the information of the to-be-recommended users from the server and displays the information of the to-be-recommended users to users. According to the method and system for recommending users in the SNS community, after the update information of users is obtained, the information of the to-be-recommended users is instantly obtained through calculation and is displayed to the users, so that only users relevant to the update information need calculating, and not all users need calculating for one time in an off-line mode. Consequently, time is saved, and the calculation burden of the server is reduced.

Description

technical field [0001] The invention relates to network technology, in particular to a method and system for recommending users in an SNS community. Background technique [0002] SNS (Social Networking Services) is an Internet application service that helps people build social networks. SNS community is a network community system based on SNS theory. In the SNS community, users get acquainted with many strangers and regard them as friends. The SNS community recommends friends to users in various ways. [0003] In the SNS community, according to the user's relationship chain information, materials, interactive information in the community, etc., recommend potential people who may be known to the user, and help users expand the friendship chain. The traditional way of recommending people you may know is to use the offline calculation method after obtaining user information from the server. Due to the large amount of information and the huge amount of calculation, it takes a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06G06F17/30
Inventor 李明娥
Owner TENCENT TECH (SHENZHEN) CO LTD