LearNext
Published • Oct 27, 2013
NobleIDNI6P81W76R09S15
Authors:,,
Ranieri Baraglia
Cristina Ioana Muntean
Franco Maria Nardini
Abstract
In this paper, we tackle the problem of predicting the "next" geographical position of a tourist given her history (i.e., the prediction is done accordingly to the tourist's current trail) by means of supervised learning techniques, namely Gradient Boosted Regression Trees and Ranking SVM. The learn...
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