Method and system for pushing flight delay information, storage medium and electronic equipment

Abstract

The invention provides a method and a system for pushing flight delay information, a storage medium and electronic equipment. The method comprises the following steps: acquiring a plurality of historical flights and acquiring characteristic attribute associated with each historical flight; calculating information gain of each characteristic attribute by using an integrated tree model and screeningout the characteristic attribute with the information gain more than the preset gain value; based on the screened characteristic attribute, calculating the delay probability of the unfinished flightby a regression analysis model; pushing the calculated delay probability of the unfinished fight; and for the unfinished flight with the delay probability exceeding the preset probability value, pushing train schedule information, which arrives before the arrival date of the unfinished flight, between the departure city of the unfinished flight and the arrival city of the unfinished flight. Important variable is selected through the integrated tree model, the flight delay probability is predicted by the regression analysis model, the replaced train schedule information is pushed for the flightwith high delay probability, and the fact that a user can go out timely is completely guaranteed.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a method, system, storage medium and electronic equipment for pushing flight delay information. Background technique [0002] With the development of society, the flow of air traffic is increasing day by day, and the problem of flight delay (the landing time of the flight is more than 30 minutes later than the planned landing time, that is, the landing time on the flight schedule is delayed or the flight is cancelled) seriously affects the travel experience of passengers. [0003] If the delay of the flight can be predicted in advance, when the user books the flight ticket, the corresponding value-added service products can be pushed to the user according to the delay prediction of different flights, such as: flight delay insurance, lounge, etc., which can reduce the impact of flight delay on passengers adverse effects of travel. [0004] Academia and industry at ho...

AI Technical Summary

Problems solved by technology

[0006] In terms of research methods, flight delay prediction based on the artificial neural network model: the artificial neural network can learn by itself and find rules, but the more variables it processes, the more categorical variables in the variables, the collected historical data will make the artificial neural network The speed of network prediction of flight delays slows down, and online project deployment is more difficult; regression analysis through historical data: this regression analysis that only considers historical data does not fully cover the factors that affect flight delays, and cannot be well excavated The complex linkage relationship among big data

[0007] It can be seen that the existing technology lacks a kind of data that can integrate the current flow data of the airport, weather and meteorological early warning data, historical flight punctuality and other sources of different dimensions, and use machine learning methods to predict flight delays many days in advance. And targeted technology to provide value-added services for users

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