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A friend recommendation method for social networking sites based on node intimacy

A technology of node intimacy and social networking sites, applied in the field of following object recommendation, can solve the problems of easy aggregation and difficult expansion of following relationships, and achieve the effect of increasing access to following objects and improving user experience

Active Publication Date: 2017-02-08
ANHUI RONGDATA INFORMATION TECH
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the defect that the attention relationship is easy to aggregate and difficult to expand brought about by label recommendation in the friend recommendation method of social networking sites in the prior art, and to provide a friend recommendation method for social networking sites based on node intimacy to solve the above problems

Method used

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  • A friend recommendation method for social networking sites based on node intimacy
  • A friend recommendation method for social networking sites based on node intimacy
  • A friend recommendation method for social networking sites based on node intimacy

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Embodiment Construction

[0055] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0056] Social network statistical model is a kind of statistical model that can represent the structural properties of social network, including Center-Periphery model, Block model, Exponential Random Graph Model (ERGM) and so on. Among them, the exponential random graph model adopts the exponential form, and the probability function depends on the exponential function formed by the linear combination of network structure statistics. It uses various structures to decompose the whole network, because these structures are closer to the real social network, so it is suitable for friend recommendation algorithm of social network.

[0057] Such as figure 2 An example of the partial structure of the ERGM shown. The exponential random grap...

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Abstract

The invention relates to a node-closeness-based social network site friend recommendation method; compared with the prior art, the method overcomes the defects of easiness in gathering and difficulty in expanding of attention relations caused by tag recommendation in a social network site friend recommendation method. The node-closeness-based social network site friend recommendation method comprises the steps: extracting data , i.e. extracting the information and friend relations of a user in a social network site; preprocessing the data , i.e. removing unrelated data and building microblog data types including a microblog information list and a fan relation list of the user; recommending friends according to user closeness. By adopting the method, attention objects can be recommended according to closeness in real time in a social network, thus efficiently and rapidly helping the user manage own friend relations.

Description

technical field [0001] The invention relates to the technical field of following object recommendation methods, in particular to a method for recommending friends on social networking sites based on node intimacy. Background technique [0002] In recent years, with the rapid development of social networks, a large number of widely used social networking sites have emerged in China, such as Sina Weibo and Renren.com. On January 16, 2012, China Internet Network Information Center (CNNIC) released the "29th Statistical Report on Internet Development in China" (hereinafter referred to as the "Report") in Beijing. The "Report" shows that by the end of December 2011, China The number of netizens exceeded 500 million, of which the number of social network users was 244 million, a slight increase compared to 2010. In terms of utilization rate, users of social networking sites accounted for 47.6% of Internet users; the number of Weibo users reached 250 million, an increase of nearly...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535G06Q50/01
Inventor 谭昶陈恩红王浩昌玮
Owner ANHUI RONGDATA INFORMATION TECH
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