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Method and device for obtaining number of micro-blog followers based on machine learning and sampling algorithm

A sampling algorithm and machine learning technology, applied in the field of data statistics, can solve the problem of linear growth of data storage and capture requirements

Pending Publication Date: 2019-01-22
BEIJING XUEZHITU NETWORK TECH
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

If you start from the full amount of data, it can be realized, but the requirements for data storage and capture increase linearly

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  • Method and device for obtaining number of micro-blog followers based on machine learning and sampling algorithm
  • Method and device for obtaining number of micro-blog followers based on machine learning and sampling algorithm
  • Method and device for obtaining number of micro-blog followers based on machine learning and sampling algorithm

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Embodiment Construction

[0026] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0027] figure 1 It shows the flow chart of the method for obtaining the number of Weibo fans based on machine learning and sampling algorithm provided by the embodiment of the present invention, see figure 1 , the method for obtaining the number of microblog fans based on machine learning and sampling algorithm provided by the embodiment of the present invention includes the following steps S1-S2:

[0028] S1. Obtain the social in...

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Abstract

The invention provides a method and a device for obtaining the number of micro-blog followers based on machine learning and sampling algorithm. The method comprises the following steps: acquiring thesocial information of the user to be discriminated, extracting the characteristic data in the social information of the user to be discriminated, substituting the characteristic data in the social information of the user to be discriminated into a GBDT discrimination model for discrimination, and at least obtaining an effective user in the social information of the user to be discriminated; according to the total number of users of micro-blog, the number of followers of a KOL, the number of effective users in the social information of users to be judged and the number of followers who pay attention to KOL among the effective users, calculating the true number of followers of KOL. Through the method and the device for acquiring the number of micro-blog followers based on machine learning and sampling algorithm provided by the invention, user social information of real users in the micro-blog can be analyzed, and the calculation of the number of real KOL followers can be carried out through the sampling algorithm. There is no need to use the full amount of micro-blog data, nor to build a complex model of the micro-blog text, the technology is simple and easy to try.

Description

technical field [0001] The invention relates to the field of data statistics, in particular to a method and device for acquiring the number of microblog fans based on machine learning and sampling algorithms. Background technique [0002] Nowadays, it has become more and more important for the commercialization of KOL (Key Opinion Leader, Key Opinion Leader) on social platforms. For advertisers, how to identify the influence of a certain KOL has become a difficult problem. KOL cannot simply use the number of fans to judge the value. In the current environment, there are still quite a few advertisers who simply pay to use the media value of KOL. Since this part of media attribute data is not public, everyone can only look at the number of fans and reposts and likes. However, both are relatively easy to be manipulated, and it is difficult for advertisers to use this system to judge direct value. [0003] At present, there is still a gap in the domestic research field for th...

Claims

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Application Information

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IPC IPC(8): G06F17/18G06Q50/00
CPCG06F17/18G06Q50/01
Inventor 黄楷梁新敏陈羲吴明辉
Owner BEIJING XUEZHITU NETWORK TECH
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