User group selection method and device and computer readable storage medium

Abstract

The invention provides a user group selection method and device and a computer readable storage medium, and the method comprises the steps: S101, obtaining the configuration information of each data source, and determining a to-be-queried data source and a relation between the data sources according to an input user group selection rule and the configuration information; s102, analyzing the user group circle selection rule into a query request according to a data source and a relationship, and sending the query request to a request queue; and S103, concurrently sending the query requests in the request queue to data sources corresponding to the query requests, and converging query results fed back by the data sources based on the relationship to generate a user group circling result. According to the method, a complicated data processing process can be avoided, the workload is small, the service demand response efficiency is improved, meanwhile, the data does not need to be subjected to multi-layer processing, a service party can conveniently make rules based on original detail data, and the accuracy of user group circle selection is improved.

Description

technical field [0001] The present invention relates to the field of big data processing, in particular to a user group circle selection method, device and computer-readable storage medium. Background technique [0002] The Internet traffic dividend has gradually disappeared, the cost of traffic acquisition is getting higher and higher, and the operation direction of enterprises is also constantly adjusted, gradually shifting from investment in public domain traffic to refined operation of private domain traffic. Enterprises are paying more and more attention to the operation of existing customers, using various methods to obtain user data from different dimensions, and using various technologies to analyze and mine users, hoping to fully grasp the comprehensive and accurate information of users, so as to achieve precise marketing and personalized recommendations etc., achieve higher performance growth with fewer resources. [0003] Among them, when acquiring user data, in ...

AI Technical Summary

Problems solved by technology

However, when the business requirements change and the current data cannot meet the requirements, technicians need to re-process the full amount of data

As the business continues to change, the business logic becomes more and more complex. Data processing requires complex processing and comprehensive verification and testing, which is time-consuming and labor-intensive, and cannot meet the rapidly changing needs of the business side.

And because the data has been processed by multiple layers, the business side cannot understand the user's information based on the original detailed data, so it cannot meet the business needs

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