摘要
由于潜在高价值旅客当前乘机历史记录少,较难被航空公司准确发现并关注.对此,提出基于出行意图的潜在高价值旅客发现概率模型.首先建立一个基于统计的潜在高价值旅客发现概率模型,再将旅客出行意图引入概率模型,发现旅客潜在航线需求,优化旅客潜在价值计算,从而通过出行意图发现潜在高价值旅客.实验结果表明,相比于次数法、里程法以及RFM模型等传统的旅客价值度量方法,基于出行意图的潜在高价值旅客发现概率模型能够有效识别潜在高价值旅客.
Potential high-value passengers can not be effectively discovered by airways due to the limited historical booking records of passengers. Aiming at this problem,a probabilistic model for discovering potential high-value passengers based on trip purposes mining is proposed. Firstly,we present a probabilistic model based on statistics to measure the value of passengers. Then,trip purposes are introduced into the model to discover potential airline demands of each passenger and to optimize passenger potential value calculation. Therefore,potential high-value passengers can be discovered through the trip purposes mining. Experiments show that the proposed model can identify the potential high-value passengers more accurately than the traditional passenger value evaluation methods based on the passengers' cumulative number of flight times,passengers' cumulative mileage and recency frequency monetry model.
引文
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