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Tourism industry has grown tremendously in the previous several decades.Despite its global impact, there still remain a number of open questionsrelated to better understanding of tourists and their habits. In this work weanalyze the largest data set of travel receipts considered thus far, and focuson exploring and modeling booking behavior of online customers. We extractuseful, actionable insights into the booking behavior, and tackle the task ofpredicting the booking time. The presented results can be directly used toimprove booking experience of customers and optimize targeting campaigns oftravel operators.

Travel the World: Analyzing and Predicting Booking Behavior using E-mail Travel Receipts