Service distribution method, service distribution device and service distribution equipment

Abstract

Embodiments of the invention provide a service distribution method, a service distribution device and service distribution equipment, belonging to the technical field of artificial intelligence. The method comprises the following steps: acquiring service data of a target user corresponding to at least two service scenes, wherein the service data is used for representing service processing contents of the target user in the service scenes; dividing the service data into at least two groups of clustered service data, wherein the clustered service data comprises service data of the same type and corresponds to a preset clustering category; determining a user category of the target user based on the clustered service data and the corresponding preset clustering category; and allocating recommendation service corresponding to the user category to the target user. According to the method, processing of multi-view data is effectively guaranteed through data clustering and user category determination. In addition, the multi-view data corresponding to the user is fully utilized, the accuracy of service distribution is improved, and the experience of processing the corresponding service by the user is further improved.

Description

technical field [0001] The embodiments of this specification relate to the technical field of artificial intelligence, and in particular to a service allocation method, device, and equipment. Background technique [0002] With the development of all walks of life, the degree of subdivision of business types is also increasing. These services may be services that provide users with corresponding services, or services that need to be processed by users in a timely manner. Correspondingly, different types of users need to obtain different services. Therefore, judging the services that the user may obtain based on the relevant information of the user in advance, so as to prepare the data and resources corresponding to the corresponding service in advance, which can effectively improve the service processing efficiency in the subsequent process and improve the user experience. [0003] At present, when predicting the service required by the user, the user is generally classified...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of this specification is to provide a service allocation method, device and equipment to solve the problem of how to recommend services to users based on multi-view data to improve user experience

Images