A Method for Identifying Passengers' Potential Ticket Purchase Needs
A passenger and ticket purchase technology, applied in data processing applications, instruments, calculations, etc., can solve the problem that passengers cannot reflect the potential ticket purchase needs, and achieve the effect of improving the attendance rate
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[0059] This example gives a method for identifying passengers’ potential ticket purchase needs. Firstly, through data processing, they are classified according to definite needs and uncertain needs (divided into passenger ticket purchase data with deterministic wishes and passenger purchase data with non-deterministic wishes). Ticket data), and then after a series of feature processing and extraction, finally build a support vector machine model for identifying passengers’ potential ticket purchase needs, and use the support vector machine model to identify the hidden demand behind the uncertain demand (that is, non-deterministic willingness) potential demand for tickets.
[0060] The data involved in this example comes from the train numbered D2818 (i.e. the target train), which serves 18 stations, but the data used in this example only involves 12 stations; in addition, this example only considers that the train seat level is The case of first-class and second-class seats. ...
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