On Tour: Harnessing Social Tourism Data for City and Point of Interest Recommendation

Research output: Contribution to conferenceConference Paper

Abstract

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.
Original languageEnglish
Pages51-56
Publication statusPublished - 21 Nov 2019
EventInternational Alan Turing Conference on Decision Support and Recommender Systems - The Alan Turing Institute, London, United Kingdom
Duration: 21 Nov 201922 Nov 2019
Conference number: 1

Conference

ConferenceInternational Alan Turing Conference on Decision Support and Recommender Systems
Abbreviated titleDSRS-Turing '19
CountryUnited Kingdom
CityLondon
Period21/11/1922/11/19

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    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.