Method for recommending potential friends in social network

A technology for social networking and friend recommendation, applied in the field of potential friend recommendation, it can solve the problem that the user's contribution to expanding the circle of friends is not very significant.

Active Publication Date: 2014-12-24
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the recommendation system is an acquaintance recommendation mechanism, and...

Method used

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  • Method for recommending potential friends in social network
  • Method for recommending potential friends in social network
  • Method for recommending potential friends in social network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] Please refer to figure 1 , the present embodiment provides a method for recommending potential friends in a social network. figure 1 The process shown is processed, and the method includes the following steps:

[0071] S01: Obtain all the articles published by each user within one year from the social network server, and store and record them. In this embodiment, first obtain 5,314 friends from the API interface of Renren.com, and mine a total of 17,956 articles from them Shared articles and 138,901 original articles, among which articles can also be called blog posts; in the step S01, all articles published by each user within one year are stored in the following manner:

[0072] Blog(user i )={b 1 , b 2 ,...,b q}

[0073] Among them, Blog(user i ) represents the collection of all articles of user i, b q Refers to Blog(user i ) in the qth article.

[0074] The topic of the article may refer to the topic selected at the beginning of writing the article in the ...

Embodiment 2

[0120] The difference between this embodiment 1 and embodiment 1 is that in this embodiment, S3, S4, and S5 are sequential, that is, they are implemented sequentially. Then, in S4, only x users in the rough list and specific The interest change sensitivity of the user, S5 only calculates the refined similarity between the specific user and the x users in the rough list, unlike in Example 1, which calculates the interest change sensitivity of all users As well as refining the similarity, in embodiment 1, the required information can be retrieved from all the results, and only one calculation is needed to satisfy the friend recommendation of all users. In embodiment 2, S4 and S5 are respectively performed for different users. Calculations, that is, need to be calculated separately. Except for the above differences, the specific implementation in each step is similar to Example 1.

[0121] Specifically, this implementation provides a method for recommending potential friends in ...

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Abstract

The invention relates to a method for recommending potential friends in a social network and realizes the recommendation for the potential friends through two layers of moulds. The method comprises the flowing steps of in the first layer, firstly carrying out subject classification on the articles of all users, constructing a user attention vector, and calculating the cosine similarity of the users to obtain a rough potential-friend recommending list; in the second layer, taking the interest changes with time of the users into account, taking change factors into the calculation of the similarity, and then further detailing the friend recommendation on the basis of the rough recommending list in the first layer. Because the characteristic that the interests of the users are reflected by the articles is utilized, by starting from the interest similarity and bypassing the limitation of an existing social network on the basis of the original friend relationship of the users, the friend recommending method based on the interest similarity is realized, the friend recommending range is expanded, and the recommendation of the friends is further more accurately and effectively realized within a large range.

Description

technical field [0001] The invention relates to the field of computer programs, in particular to a method for recommending potential friends in a social network. Background technique [0002] The rise of Web 2.0 has brought more and more network users to participate in social networks. They are keen on sharing resources and exchanging information, and they communicate more and more through online social networks. Research on user-generated content can not only help merchants understand the preferences of various user groups for products, but also improve various network services, which is of great significance for improving user experience. [0003] As network users are gradually dissatisfied with the social circle formed by the circle of friends in reality, it has become the demand of many users to find strange users with common interests in social networks. In a social network, expanding a user's circle of friends is one of the main ways for the development of a social ne...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/285G06F16/9535
Inventor 陈秀真李建华李生红史辰烨周泉
Owner SHANGHAI JIAO TONG UNIV
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