Method and device for estimating recessive character distribution of users

A feature distribution and user technology, applied in the network field, can solve problems such as different sample spaces, result errors, and calculation result deviations

Active Publication Date: 2014-12-10
INFERVISION MEDICAL TECH CO LTD
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Problems solved by technology

[0011] According to the Bayesian equation, the probability of Jo's age group being 0-50 is 1%, and the probability of 50-100 is 99%. However, the actual situation is that the probability of Jo's age group being 0-50 is 100%, which is 50. The age group of ~100 is 0%. It is precisely because the composition of the sample space using the website F is different from that of the national population. However, the national population data is used in the calculation, and the sample space is different, resulting in serious deviations in the calculation results.
Usually, each website has its own characteristics, and the people attracted by each website also have their own characteristics. The composition of the crowd is generally different from that of the national population. If we estimate the hidden characteristics of users based on the sample space of national population data , it will inevitably lead to the error of the result

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  • Method and device for estimating recessive character distribution of users
  • Method and device for estimating recessive character distribution of users
  • Method and device for estimating recessive character distribution of users

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Embodiment Construction

[0053] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0054] see figure 1 , methods include:

[0055] Step S201: Obtain the users who use the website and the dominant features of the users;

[0056] The website records user-related information, such as user registration information, user access information, etc. Among them, user-related information is usually stored in the statistical data in the background of the website, and who uses the website can be obtained through statistical data, for example: Statistical data records that Zhang San and Li Si registered as users of the website, then it can be known through statistical data that Zhang San and Li Si have used the website. Of course, the relevant information of the users is required to be true, such as: real name, real age, etc. Wait.

[0057] The dominant feature of the user is the feature obtained directly. For example, if the real name of the ...

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Abstract

The present invention discloses a method and a device for estimating recessive character distribution of users. The method comprises obtaining users using a website and dominant characters of the users; obtaining character information of the whole population from a population database, the character information comprising dominant characters and recessive characters; and according to the character information of the whole population, the users using the website and dominant characters of the users, recessive character distribution of the users is calculated through the bayesian algorithm. Through the abovementioned method, the estimating results are more accurate when recessive characters of users are estimated.

Description

technical field [0001] The invention relates to the field of network technology, in particular to a method and device for estimating the distribution of hidden features of users. Background technique [0002] Usually, when using a website, a user needs to register as a user of the website, and when a user registers as a user of the website, he needs to fill in registration information, such as user name, ID number, and so on. [0003] If the website manager needs to carry out accurate advertising marketing and push different advertisements to different users, it is not enough to rely solely on user registration information, and more user information is needed. Information, for example: know the user's name, want to estimate the user's age, race, gender, etc. [0004] In the prior art, estimating recessive features through known explicit features is implemented according to the Bayesian equation, as follows: [0005] Suppose x is the hidden feature of the user we are intere...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/00G06F16/9535G06Q30/0277
Inventor 陈宽
Owner INFERVISION MEDICAL TECH CO LTD
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