User portrait construction method and device based on big data and calculation equipment

Abstract

The invention discloses a user portrait construction method and device based on big data, calculation equipment and a computer storage medium. The method includes the steps of obtaining user geographical location information and list information of applications installed in a user terminal; according to the user geographical location information, generating location point sequences; utilizing a first deep learning algorithm to achieve learning of the location point sequences, and obtaining user geographical location feature vectors corresponding to a user; utilizing a second deep learning algorithm to achieve learning of the list information of the applications installed in the user terminal, and obtaining application feature vectors of the applications installed in the user terminal. A user portrait is constructed on the basis of the user geographical location feature vectors and the application feature vectors; the user portrait constructed on the basis of the big data can fully reflect the features of the user, and therefore more precise services can be provided for the user conveniently according to the user portrait.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method, device, computing device and computer storage medium for constructing a user portrait based on big data. Background technique [0002] With the continuous development of network and information technology, various platform applications have emerged. In order to improve various functions of the platform, to facilitate the platform to provide users with better services, and to protect the interests of the platform, it is necessary to understand and analyze the user's various information. At present, user information is often obtained by constructing user portraits. [0003] Existing user portrait construction methods mainly construct user portraits based on the user's one-dimensional data, such as gender, age, occupation, constellation, height, weight, shopping type, brand preference and / or income, etc. The big data generated by the Internet, although the user p...

AI Technical Summary

Problems solved by technology

[0003] Existing user portrait construction methods mainly construct user portraits based on the user’s unary data, such as gender, age, occupation, constellation, height, weight, shopping type, brand preference and / or income, etc., and do not make full use of the factors The big data generated by the Internet, although the user portrait constructed by using the unary data can guide the platform, but it cannot fully reflect the characteristics of the user, so that the platform cannot provide users with refined services, and it is impossible for the user to be fraudulent, etc. Protect the interests of the platform when acting

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