Personalized user service customization method and device

Abstract

The invention provides a personalized user service customization method and device, and the method comprises the steps: obtaining original data, carrying out the preprocessing, and determining the preprocessing data; dividing user types according to the preprocessed data; generating a personalized service strategy according to the user type; determining historical user feature data according to the preprocessed data; establishing a deep convolutional neural network model, training the deep convolutional neural network model by using the historical user feature data and the user type, and determining the trained deep convolutional neural network model; acquiring user real-time data, and analyzing the user real-time data to obtain user real-time feature data; and inputting the real-time feature data of the user into the trained deep convolutional neural network model for type division, determining a user type corresponding to the user, calling a personalized service strategy, and customizing personalized service content. According to the invention, personalized service content is automatically customized for the user.

Description

technical field [0001] The invention relates to the technical field of computer data processing, in particular to a method and device for customizing personalized user services. Background technique [0002] This section is intended to provide a background or context for implementations of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] Information retrieval technology meets people's certain needs, but due to its general nature, it still cannot meet the query requests of different backgrounds, mountains and different periods. Personalized service technology is proposed for this problem. It provides different users with Different services meet different needs, and personalized services realize the purpose of active recommendation by collecting and analyzing user information. [0004] In order to improve the service quality of enterprises, the means of providing personalized service...

AI Technical Summary

Problems solved by technology

Providing personalized services in this way has the following disadvantages: 1. The number of users served by each user manager is limited. As the number of users who provide personalized services increases, the number of user managers needs to be increased correspondingly, which increases the service cost of the enterprise ;2. At present, the user's information is in the hands of the corresponding user manager, while other user managers do not have the user's information. Provide personalized services; 3. If the user manager leaves, the company needs to train a new user manager to provide users with personalized services, which will undoubtedly increase costs again and consume company resources

[0005] The above reasons greatly limit the improvement of the service quality of enterprises, and the constraints reduce the competitiveness of enterprises in the direction of service quality, which in turn reduces the expansion of enterprise users and limits the development of enterprises

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