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Workshop on Recommenders in Tourism (RecTour)

Published: 13 September 2022 Publication History

Abstract

The Workshop on Recommenders in Tourism (RecTour) 2022, which is held in conjunction with the 16th ACM Conference on Recommender Systems (RecSys), addresses specific challenges for recommender systems in the tourism domain. In this overview paper, we summarize our motivations to organize the RecTour workshop and present the main topic areas of RecTour submissions. These include context-aware recommendations, group recommender systems, recommending composite items, decision making and user interaction issues, different information sources and various application scenarios.

References

[1]
Daniel R Fesenmaier, Tsvi Kuflik, and Julia Neidhardt. 2016. RecTour 2016: Workshop on recommenders in tourism. In Proceedings of the 10th ACM Conference on Recommender systems. ACM, 417–418.
[2]
Ulrike Gretzel, Matthias Fuchs, Rodolfo Baggio, Wolfram Hoepken, Rob Law, Julia Neidhardt, Juho Pesonen, Markus Zanker, and Zheng Xiang. 2020. e-Tourism beyond COVID-19: a call for transformative research. Information Technology & Tourism 22 (2020), 187–203.
[3]
Carlos Lamsfus, Dan Wang, Aurkene Alzua-Sorzabal, and Zheng Xiang. 2015. Going mobile: Defining context for on-the-go travelers. Journal of Travel Research 54, 6 (2015), 691–701.
[4]
David Massimo and Francesco Ricci. 2022. Building effective recommender systems for tourists. AI Magazine (2022).
[5]
Julia Neidhardt, Daniel R Fesenmaier, Tsvi Kuflik, and Wolfgang Wörndl. 2017. RecTour 2017: Workshop on Recommenders in Tourism. In Proceedings of the Eleventh ACM Conference on Recommender Systems. ACM, 386–387.
[6]
Julia Neidhardt, Rainer Schuster, Leonhard Seyfang, and Hannes Werthner. 2014. Eliciting the users’ unknown preferences. In Proceedings of the 8th ACM Conference on Recommender systems. ACM, 309–312.
[7]
Julia Neidhardt, Wolfgang Wörndl, Tsvi Kuflik, and Markus Zanker. 2018. RecTour 2018: Workshop on Recommenders in Tourism. In Proceedings of the Twelfth ACM Conference on Recommender Systems. ACM, 525–526.
[8]
Julia Neidhardt, Wolfgang Wörndl, Tsvi Kuflik, and Markus Zanker. 2021. RecTour 2021: workshop on recommenders in tourism. In Proceedings of the 15th ACM Conference on Recommender Systems. 815–816.
[9]
Julia Neidhardt, Wolfgang Wörndl, Tsvi Kuflik, Markus Zanker, and Catalin-Mihai Barbu. 2019. RecTour 2019: workshop on recommenders in tourism. In Proceedings of the 13th ACM Conference on Recommender Systems. 564–565.
[10]
Hannes Werthner, Aurkene Alzua-Sorzabal, Lorenzo Cantoni, Astrid Dickinger, Ulrike Gretzel, Dietmar Jannach, Julia Neidhardt, Birgit Pröll, Francesco Ricci, Miriam Scaglione, 2015. Future research issues in IT and tourism. Information Technology & Tourism 15, 1 (2015), 1–15.
[11]
Hannes Werthner and Francesco Ricci. 2004. E-commerce and tourism. Commun. ACM 47, 12 (2004), 101–105.
[12]
Zheng Xiang, Vincent P Magnini, and Daniel R Fesenmaier. 2015. Information technology and consumer behavior in travel and tourism: Insights from travel planning using the internet. Journal of Retailing and Consumer Services 22 (2015), 244–249.

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RecSys '22: Proceedings of the 16th ACM Conference on Recommender Systems
September 2022
743 pages
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2022

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Author Tags

  1. Tourism recommenders
  2. context-aware recommendations
  3. destination characterization
  4. evaluation of tourism recommenders.
  5. next-POI recommendations

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Overall Acceptance Rate 254 of 1,295 submissions, 20%

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