A personalized travel system based on crowdsourcing model

Abstract

With the proliferation of the online tourism markets, and the rapid change of tourists demands, existing online travel platforms cannot satisfy tourists to some extent, since their tourism demands tend to be more personalized and dynamic. Based on the above motivations, we design and develop a personalized tourism system based on a novel cooperation crowdsourcing model through the Internet. More importantly, data quality control based on the crowdsourcing model is a key problem which affects the accuracy and effectiveness of tourist recommendation. To address this problem, we propose three data quality control schemes for personalized tours based on the crowdsourcing model. Extensive experiments validate the effectiveness of our proposed approach.