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

Tom Bewley

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

Tom Bewley

Research output: Contribution to conference › Conference Paper › peer-review

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 language	English
Pages	51-56
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

Conference	International Alan Turing Conference on Decision Support and Recommender Systems
Abbreviated title	DSRS-Turing '19
Country/Territory	United Kingdom
City	London
Period	21/11/19 → 22/11/19

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title = "On Tour: Harnessing Social Tourism Data for City and Point of Interest Recommendation",

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.",

author = "Tom Bewley",

year = "2019",

month = nov,

day = "21",

language = "English",

pages = "51--56",

note = "International Alan Turing Conference on Decision Support and Recommender Systems, DSRS-Turing '19 ; Conference date: 21-11-2019 Through 22-11-2019",

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TY - CONF

T1 - On Tour: Harnessing Social Tourism Data for City and Point of Interest Recommendation

AU - Bewley, Tom

N1 - Conference code: 1

PY - 2019/11/21

Y1 - 2019/11/21

N2 - 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.

AB - 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.

UR - https://www.researchgate.net/profile/Tom_Bewley2/publication/338581229_On_Tour_Harnessing_Social_Tourism_Data_for_City_and_Point_of_Interest_Recommendation/links/5e1dd8e6458515d2b46d3eb6/On-Tour-Harnessing-Social-Tourism-Data-for-City-and-Point-of-Interest-Recommendation.pdf

M3 - Conference Paper

SP - 51

EP - 56

T2 - International Alan Turing Conference on Decision Support and Recommender Systems

Y2 - 21 November 2019 through 22 November 2019

ER -

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

Abstract

Conference

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