A METHOD AND SYSTEM FOR REAL-TIME ONLINE TRAVELER SEGMENTATION USING AUTOMATIC APPRENTICESHIP

摘要

A computer-implemented method for real-time online traveler segmentation includes access to at least one offline data store that contains previous travel reservation records of a plurality of travelers that can be distinguish individually. Each record of a selected record training set in the offline data store, a feature vector is calculated including the corresponding values for the plurality of features. An automatic learning classifier is driven using calculated feature vectors and associated tags corresponding to the records in the training set. A processor is configured to execute the machine learning classifier, which receives a feature vector comprising the values of the plurality of characteristics corresponding to an unidentified user in the online context. The processor executes the machine learning classifier to determine and estimate whether the unidentified user is a member of a predetermined traveler category or not.