Data processing method, device and server

Abstract

Embodiments of the present invention provide a data processing method, device and server. The method comprises: acquiring user features of users to be excavated from at least one data source; acquiring a pre-trained target asset status predicting model which is obtained by training according to the user features of positive sample users and negative sample users acquired from the at least one datasource, wherein the possibility that the positive sample users have target assets is larger than the possibility that the negative sample users have target assets and the user features at least comprise user behavior features; predicting the probability that the users to be excavated have the target assents according to the user features of the users to be excavated and the target asset status predicting model; and determining that the users to be excavated have the target assents if the probability that the users to be excavated have the target assents is larger than a probability threshold.The embodiments of the present invention can increase processing efficiency of excavation of a user asset status.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a data processing method, device and server. Background technique [0002] As a part of user information, user asset status is very important information to describe users, just like basic attributes such as user age, gender, country, province, city, etc. It is widely used in scenarios such as user portrait generation and information recommendation; for more To achieve user portrait generation, information recommendation, etc., it is of great significance to optimize the mining method of user asset status; user asset status is a representation of whether a user owns a certain asset, such as whether the user has real estate or a car, etc. . [0003] At present, when mining the asset status of a user, it is necessary to go to banks, housing management bureaus, vehicle management offices and other institutions that have registered user asset data to conduct manual i...

AI Technical Summary

Problems solved by technology

[0003] At present, when mining the asset status of a user, it is necessary to go to banks, housing management bureaus, vehicle management offices and other institutions that have registered user asset data to conduct manual inquiries, so as to determine whether a user has specific assets based on the manual query results. Realize the mining of user asset status; this method needs to go to a specific organization that has registered user asset data to find out whether the user has a specific asset, and there is a problem of low processing efficiency of user asset status mining

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