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Friend recommendation method and friend recommendation device

A friend recommendation and node technology, applied in the network field, can solve problems such as inaccurate personal data information

Active Publication Date: 2014-03-26
SAMSUNG ELECTRONICS CHINA R&D CENT +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Among the above friend recommendation methods, method 1 may not recommend potential friends in the user’s social sense to a large extent due to the inaccuracy of the user’s registered personal information, and method 2 cannot really achieve recommendation. of friends are potential friends in the social sense of the user

Method used

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  • Friend recommendation method and friend recommendation device
  • Friend recommendation method and friend recommendation device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] Under this embodiment 1, it needs to figure 2 The social complex network constructed by the shown process is further optimized. Among them, in describing how to optimize figure 2 Before the social complex network constructed by the shown process, the above-mentioned user social information logs are analyzed first.

[0061] As a preferred solution of Embodiment 1, the user social information log may at least include: both users participating in the social behavior, the start time of the social behavior, and the like.

[0062] Based on the content contained in the user's social information log, the figure 2 The optimization of the social complex network constructed by the shown process is specifically implemented through the following steps:

[0063] In the above step 202, the following steps are further performed:

[0064] Calculate and count the number of social actions between each user pair. Here, social behaviors that occur at different time points are called...

Embodiment 2

[0077] This embodiment 2 can be applied to the social complex network applied in the above-mentioned embodiment 1, or it can not be applied to the social complex network applied in the embodiment 1, and can only be applied to the social complex network applied through figure 2 A complex social network constructed.

[0078] In this embodiment 2, it needs to perform the following steps in advance:

[0079] Find all node pairs that do not have edges in the current social complex network; wherein, each node pair found contains two nodes;

[0080] Predict the probability that there may be an edge between each found pair of nodes. The probability that there may be an edge between each node pair referred to here is essentially the probability that there may be an edge between two nodes included in each node pair.

[0081] Based on the above description, in this embodiment 2, when the server receives the recommendation request sent by the target user who is to recommend friends, it...

Embodiment 3

[0107] Embodiment 3 is applied to the social complex network applied in the above-mentioned embodiment 1, and it is specifically realized by combining embodiment 1 and embodiment 2 on the premise of applying the social complex network applied in the above-mentioned embodiment 1.

[0108] In this embodiment 3, the technical means adopted are also the means of combining embodiment 1 and embodiment 2, except that when recommending friends to the target user, it is necessary to analyze the relationship between the target user and the target user in the complex social network. The number N1 of friends who have no connections to the node, and the number N2 of friends that the target user needs to have connections with the target node in the complex social network, specifically:

[0109] Select N1 nodes from the second node sequence stored in the recommendation list library in a front-to-back order, and select N2 nodes from the first node sequence stored in the recommendation list lib...

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Abstract

The invention provides a friend recommendation method and a friend recommendation device. The recommendation method includes A, building a social complex network including multiple nodes; B, receiving recommendation requests sent by a target user to be recommended with friends and recognizing a target node corresponding to the target user in the social complex network; C, according to analysis of social complex network and nodes having edges with the target nodes and / or nodes possibly having edges with the target nodes, taking at least one of the nodes according to the analysis result as a friend recommended to the target user. In the social complex network, one node corresponds to one user; if two nodes have edges, then social behavior exists between the users corresponding to the two nodes. In application of the friend recommendation method, the registered personal background information of users can be avoided, and potential friends in social significance can be recommended for the users by analyzing the social complex network.

Description

technical field [0001] The present application relates to network technology, in particular to a friend recommendation method and device. Background technique [0002] With the rapid development of the Internet and communication technology, the channels for people to communicate and share information with each other have become faster and more colorful. Various dating platforms such as text messages, emails, blogs, and WeChat have become the main media for people to socialize, and users' social behaviors on these social media constitute a huge and complex network - social network. [0003] Based on the continuous development of social networks, friend recommendation has also been flourishing. At present, among the commonly used friend recommendation methods, the commonly used methods include: [0004] Method 1, recommending friends based on the user's initial registered personal profile information. Here, the user's initial registered personal profile information may inclu...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/90335
Inventor 方芳
Owner SAMSUNG ELECTRONICS CHINA R&D CENT
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