Pejman Khadivi, Naren Ramakrishnan

Abstract

Due to the economic and social impacts of tourism, both private and public sectors are interested in precisely forecasting the tourism demand volume in a timely manner. With recent advances in social networks, more people use online resources to plan their future trips. In this paper we explore the application of Wikipedia usage trends (WUTs) in tourism analysis. We propose a framework that deploys WUTs for forecasting the tourism demand of Hawaii. We also propose a data-driven approach, using WUTs, to estimate the behavior of tourists when they plan their trips.

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Naren Ramakrishnan


Publication Details

Date of publication:
February 12, 2016
Conference:
The AAAI conference on Artificial Intelligence