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.
|Publication status||Published - 21 Nov 2019|
|Event||International Alan Turing Conference on Decision Support and Recommender Systems - The Alan Turing Institute, London, United Kingdom|
Duration: 21 Nov 2019 → 22 Nov 2019
Conference number: 1
|Conference||International Alan Turing Conference on Decision Support and Recommender Systems|
|Abbreviated title||DSRS-Turing '19|
|Period||21/11/19 → 22/11/19|
Bewley, T. (2019). On Tour: Harnessing Social Tourism Data for City and Point of Interest Recommendation. 51-56. Paper presented at International Alan Turing Conference on Decision Support and Recommender Systems, London, United Kingdom.