Method and device for discovering potential high-value passengers

Abstract

The invention discloses a method and device for discovering potential high-value passengers. Based on processing of large-scale passenger travel data (historical passenger ticket booking information),travel intentions hidden behind passenger travel are discovered, travel intention distribution of each passenger is obtained, and potential high-value passengers of a reserved airline company are further determined based on the travel intention distribution information of each passenger. The invention provides a potential high-value passenger discovery scheme based on a passenger travel intention. The passenger travel intention can reflect the potential requirements of passengers on airlines. Correspondingly, by mining the travel intention distribution information hidden behind the travel data of the passengers, the potential value of the passengers can be determined more accurately, the potential high-value passengers with fewer current passenger records can be found, and neglect of a traditional passenger value measurement method on the potential high-value passengers is avoided.

Description

technical field [0001] This application belongs to the technical application field of prediction theory and method, and in particular relates to a method and device for discovering potential high-value passengers. Background technique [0002] With the rapid development of my country's economy, air travel is becoming more and more popular. Usually, the customer life cycle includes potential period, development period, stable period and decline period. For civil aviation passengers, although the current real value of high-value passengers in the potential and development stages is not high, their future value-added potential is high and they have high marketing value. Good customer relationship, these passengers may become an important source of income for airlines in the future, so identifying potential high-value passengers as early as possible becomes the key to airlines seizing high-quality passenger resources. Correspondingly, how to identify them from a large number of...

AI Technical Summary

Problems solved by technology

These methods all use the historical travel data of individual passengers as the basis for passenger value measurement, which can only reflect the value brought by passengers based on historical travel conditions, and it is difficult to accurately discover potential high-value passengers; especially for the current few flights passengers, there is no historical boarding data to predict the probability of passengers taking routes that have not been taken in the history in the future, which will lead to a "cold start" problem. For this situation, the above-mentioned methods of the prior art cannot overcome the cold start problem, thus Potentially high-value passengers cannot be identified from this group of passengers

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