User fee allocation method and user fee allocation system

Abstract

The invention belongs to the technical field of information, and particularly relates to a user cost configuration method and a user cost configuration system. The user cost configuration method comprises the steps of: S1, acquiring network data of users, and carrying out service analysis on the network data of the users; S2, generating service vector sets corresponding to the users according to service types of the network data of the users, carrying out correlation clustering on users with the same internet surfing preference, and carrying out preference classification on the service types of the users; S3, according to service preference types of the users, calculating convergence groups of different service preference types in a set time period and service characteristics correspondingto the convergence groups; and S4, according to the service characteristics corresponding to the convergence groups, configuring package modes to the users. According to the user cost configuration method and the user cost configuration system, a charge mode of dynamically sensing the service preferences of the users is implemented, and experience of the users can be greatly improved.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to a user fee allocation method and a user fee allocation system. Background technique [0002] In recent years, with the rapid development of Internet networks, the role of data services for operators has become prominent. How to formulate a reasonable billing method that meets user consumption preferences has become the key to business competition among operators. [0003] At present, in addition to a small number of billing methods based on actual consumption, each communication operator provides packages of different tariff levels for users to choose. Provide users with a variety of choices suitable for their own data services. [0004] However, the current billing method can only be judged according to the usage of the user's data service, and then billed according to the traffic, which has the following problems: [0005] Unable to perceive the user's prefer...

AI Technical Summary

Problems solved by technology

[0005] Unable to perceive the user's preference in real time, resulting in the same billing for the user's preferred service and non-preferred service, so that the user cannot experience the discount;

[0006] It is impossible to dynamically evaluate the user's business preference update, because the user's preference is likely to change with the development of the Internet. For example, a user who likes to watch videos may become a user who likes to play new games under the recommendation of friends

[0007] It can be seen that the current billing method cannot detect the changes in the network services of the users in a timely manner, resulting in the inability to recommend billing models in real time for users in real time that suits their usage methods, and the user experience is not good.

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