Service prediction method and system and computer storage medium

Abstract

The embodiment of the invention discloses a service prediction method and system and a computer storage medium. The method comprises the steps of training to obtain a place classification model through training, and determining a place set of terminal users; training to obtain an activity classification model and determining an activity set of the terminal user; training based on the activity set,the place set and the historical detailed list data to obtain a business prediction model; when the real-time detailed list data and the real-time terminal state data corresponding to the terminal user at the current moment are obtained, determining the activity of the next moment based on the real-time terminal state data and the activity classification model, and determining the place of the next moment based on the real-time detailed list data and the place classification model; and obtaining the business type of the next moment based on the real-time detailed list data, the activity of the next moment, the place of the next moment and the business prediction model.

Description

technical field [0001] The invention relates to mobile communication network technology, in particular to a service prediction method, system and computer storage medium. Background technique [0002] The existing location-based social network (LBSN, Location-based Social Network) technology mainly studies the behavior of leading group users in a certain area, analyzes the social relations and points of interest of users, and performs personalized recommendation predictions. Items in line with user interests are recommended to target users. This predictive recommendation method has nothing to do with time factors and has relatively large limitations. Contents of the invention [0003] In order to solve the existing technical problems, the embodiments of the present invention provide a business forecasting method, system and computer storage medium. [0004] In order to achieve the above object, the technical solution of the embodiment of the present invention is achieved ...

AI Technical Summary

Problems solved by technology

[0002] The existing location-based social network (LBSN, Location-based Social Network) technology mainly studies the behavior of leading group users in a certain area, analyzes the social relations and points of interest of users, and performs personalized recommendation predictions. Items in line with user interests are recommended to target users. This predictive recommendation method has nothing to do with time factors and has relatively large limitations.

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