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Friend recommendation method of mobile social network

A friend recommendation and social network technology, which is applied in the design field of friend recommendation methods, can solve the problem that the recommendation results of friend recommendation methods cannot satisfy users, etc.

Inactive Publication Date: 2015-09-02
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that the recommendation results of the existing methods for recommending friends in mobile social networks cannot satisfy users, and propose a method for recommending friends in mobile social networks

Method used

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  • Friend recommendation method of mobile social network
  • Friend recommendation method of mobile social network
  • Friend recommendation method of mobile social network

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Embodiment Construction

[0034] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0035] The invention provides a method for recommending friends in a mobile social network, such as figure 1 shown, including the following steps:

[0036] S1. Import user geographic location log files, and calculate discrete geographic location similarity between any two users.

[0037] Wherein, the user geographical location log is composed of a user ID and a list of base station serial numbers of user activities. Assuming that the total number of users is n, and the active area of ​​users is completely covered by m base stations, then the similarity of discrete geographic locations between any two users i and j (using l i，j representation) is expressed as the cosine similarity index of all common positions of the two, as shown in formula (1):

[0038] l i , j ...

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Abstract

The invention discloses a friend recommendation method of a mobile social network. The friend recommendation method comprises the following steps that firstly, the dispersing geographic position similarity between any two users is calculated; secondly, the online time similarity of any two users is calculated; thirdly, the interest similarity of any two users is calculated; fourthly, the difference distance between any two users is calculated; fifthly, a target user is selected, and friend candidates are recommended for the target user according to the difference distance between the target user and other users. According to the friend recommendation method, the difference distance between the users of the mobile social network is calculated from a plurality of dimensionalities according to the dispersing geographic position similarity, the online time similarity and the interest similarity, the same groups are divided according to the difference distance, and the other users with the high similarity with the target user in space, time and interest can be accurately recommended for the target user to become the friend candidates of the target user; the friend recommendation method can be applied to a friend recommendation system, and individualized friend recommendation content can be pushed for the target user.

Description

technical field [0001] The invention belongs to the technical field of data mining and user behavior analysis, and in particular relates to the design of a friend recommendation method in a mobile social network. Background technique [0002] A mobile social network is a social network in which multiple users with similar interests or common points are interconnected through mobile terminals such as mobile phones or tablet computers. The mobile social network combines the social network and the mobile communication network, and has both the sociality of the social network and the mobility of the mobile communication network. It is a mobile communication system involving the social relationship of users. Mobility is the main difference between mobile social network services and traditional social network services, and social relations are defined by different social network indicators, which provide new perspectives on network relevance and social relations. It creates a new...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q50/00
CPCG06F16/951G06Q50/01
Inventor 冷甦鹏王珊珊刘强张科
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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