System for carrying out precision marketing on basis of deep user portrait and realization method

Abstract

The invention relates to the technical field of communication data processing, in particular to a system for carrying out precision marketing on basis of user portrait and a realization method. The system comprises a data source layer, a data processing layer, a data platform layer, a data response layer and a data display layer, wherein the data source layer is used for storing various data sources; the data processing layer is used for summarizing data in the data sources and then pulling through the data with different sources; the data platform layer is used for processing data operated by the data processing layer to form preliminary label data of users; the data response layer is used for storing the label data operated by the data platform layer; and the data display layer is used for displaying deep user portraits and carrying out precision marketing display on users. According to the system and the realization method, the problem that the mining for label data of traditional user portraits is insufficient is solved, the cold start problem in traditional recommendation systems is solved through depth-based user portraits is solved, and enterprises are helped to carry out precision marketing on the users.

Description

technical field [0001] The invention relates to the technical field of communication data processing, in particular to a system and implementation method for precise marketing based on in-depth user portraits. Background technique [0002] At present, enterprise user portraits are supported by simple data statistics and simple algorithm models. Offline and partial real-time data processing is performed based on the Hadoop platform or other big data platforms to meet the diversified functional requirements of reports. At the same time, enterprise managers can According to the results of the user portrait, enterprise decision-making guidance is carried out. However, in-depth data mining has not been carried out at the level of user portrait label results, and the label data generated by user portraits has not been used more deeply, so that user portraits have not exerted more functions. In terms of enterprise precision marketing, model algorithms are mainly used to recommend ...

AI Technical Summary

Problems solved by technology

[0004] In view of the problems in the background technology, the purpose of the present invention is to provide a system and implementation method for precise marketing based on in-depth user portraits, to solve the problem of insufficient tag data mining for traditional user portraits, and to solve the problem of traditional recommendation based on in-depth user portraits. The cold start problem in the system helps companies conduct precise marketing to users, thereby improving user experience and increasing user viscosity

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