Civil aviation passenger personal influence evaluation method based on big data and pagerank algorithm

Abstract

The invention discloses a civil aviation passenger personal influence evaluation method based on big data and a pagerank algorithm, and the method comprises the following steps: obtaining passenger travel data, and calculating a final viscosity value between passengers according to the passenger travel data; establishing a customer value transition probability matrix; establishing an RFMC model toperform cleaning calculation to obtain individual values of passengers, and defining personalized transfer vectors; calculating a passenger influence score based on the passenger individual value andthe customer social relation network; and establishing a passenger influence iterative model based on the passenger individual value and the customer social relationship network. According to the method, the final viscosity value between the passengers is calculated by utilizing the civil aviation passenger travel data, and the passenger influence score is calculated by combining the paagerank algorithm, so the data reference can be provided for passenger value evaluation, the accuracy of passenger value evaluation is improved, and the requirements of civil aviation enterprises on passenger value analysis are met to a great extent.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a method for evaluating the personal influence of civil aviation passengers based on big data and a pagerank algorithm. Background technique [0002] With the rapid development of social modernization, the people's pursuit of a better life is increasing, and their needs for travel services and experiences are becoming more diverse. More and more passengers choose to travel by air, which is a convenient and fast way, so the large amount of passenger travel data stored in various information systems of major airlines has shown explosive growth. How to make full use of these data resources to deepen the value of passengers, expand passenger resources, tap the potential needs of passengers, and provide passengers with high-quality personalized services to stimulate revenue growth is a huge opportunity and challenge for the civil aviation industry today. [0003] The common travel b...

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