基于旅客出行意图的潜在高价值航线挖掘

Exploration of potential high-value airlines based on passenger travel intentions

借助Map-reduce平台对旅客订票日志进行挖掘,并采用LDA算法挖掘旅客出行意图,进而计算航线的潜在价值。在2011年中航信民航旅客订票日志上的实验结果表明:采用LDA算法挖掘的航线与实际热门航线的Jacarrd相似系数达92%,比基于航班次数统计的传统方法高出2%,能够更准确、更有效地预测航线的未来价值。

This paper used the map-reduce platform to mine the passenger booking logs,used the LDA algorithm to mine passenger＇s travel intentions,and then calculated the potential value of the airline.The experimental results on the passenger name records in 2011 indicate that the similarity（Jacarrd Index） between the airlines excavated and the actual hot airlines is up to 92%,which is 2% higher than the conventional method based on the number of flights.It can predict the future value of the airline more accurately and effectively.