Determining method and device for user natural attributes

Abstract

The embodiment of the invention provides a determining method and device for user natural attributes. The method comprises the steps of determining a sample containing the natural attributes of a first user and user feature vectors of the first user according to the natural features and behaviors of the first user; normalizing features in the user feature vectors of the first user; obtaining a logistic regression machine study model corresponding to each natural attribute by the sample containing the normalized user feature vectors of the first user; determining user feature vectors of a second user according to behaviors of the second user, wherein the second user is a user with the natural features to be determined; normalizing the features in the user feature vectors of the second user; applying the normalized user feature vectors of the second user to the logic regression machine study model corresponding to each natural feature, and determining the natural attributes of the second user. The accuracy for determining the natural attributes of the user is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for determining a user's natural attributes. Background technique [0002] Internet companies and their products are based on serving users. Therefore, only by improving the awareness of visiting users can we better serve users, increase user loyalty, and ultimately retain users. However, the users of Internet companies are calculated in units of billions, and the proportion of registered users is very low, which cannot cover enough users. Therefore, it is necessary to know the natural attributes of non-registered users through technical means in order to better serve users. [0003] In the prior art, the user cognition method includes: obtaining the search behavior and web pages related to the natural attributes such as the known user's age or gender through the model; Predictive models; use predictive models to predict natural attributes of unknown users...

AI Technical Summary

Problems solved by technology

[0004] In the process of realizing the present invention, the inventor found that since there are many users on the Internet, each user's behavior is different. If each user's behavior is used for prediction, the amount of calculation is very large, and the prediction Very inefficient and sometimes unpredictable results

[0005] In addition, in the prior art, the original value of the feature corresponding to the user behavior is directly used to predict the natural attribute of the user. These original values ​​cannot reflect the influence of the feature on the natural attribute, so the prediction accuracy is relatively low. Low

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