On Tour: Harnessing Social Tourism Data for City and Point of Interest Recommendation
Published in DSRS-Turing 2019: 1st International ‘Alan Turing’ Conference on Decision Support and Recommender Systems, 2019
Recommended citation: Bewley, Tom, and Carrascosa, Ivan Palomares. "On Tour: Harnessing Social Tourism Data for City and Point of Interest Recommendation." 1st International ‘Alan Turing’ Conference on Decision Support and Recommender Systems (DSRS-Turing 2019). 2019. [PDF]
We introduce various data-driven models for recommending both city destinations and within-city points of interest to tourists. The models are implemented with a novel dataset of travel histories, derived from social media data, which is larger by size and scope than in prior work. All proposed models outperform simple baselines in cross-validation experiments, with the strongest variants reliably including tourists’ true movements among their top recommendations.