Workshop on Recommenders in Tourism (RecTour) 2024

The Workshop on Recommenders in Tourism (RecTour) has been successfully held in conjunction with the ACM Conference on Recommender Systems (RecSys) since 2016, with the exception of one year. This workshop focuses on the unique and evolving challenges of recommender systems in the tourism domain. Over time, RecTour has fostered an active community supported by both academia and industry. This year, the workshop features a special challenge focused on ranking travel reviews. In this overview paper, we outline our motivations for organizing the RecTour workshop and highlight the main topics covered in RecTour submissions, including destination recommendation, privacy concerns in travel recommender systems, the cold-start problem, transformer-based approaches in recommendation systems, and best practices for evaluation and experimentation.

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Publication Details

Published
2024-10-08
DOI
https://doi.org/10.1145/3640457.3687107
Citations
1
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
1.13
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article

Workshop on Recommenders in Tourism (RecTour) 2024

Amit Livne, Julia Neidhardt, Markus Zanker, Tsvi Kuflik
1 citations
Digital Marketing and Social Media
1.13
article

Workshop on Recommenders in Tourism (RecTour) 2024

Amit Livne, Julia Neidhardt, Markus Zanker, Tsvi Kuflik
article en
1 citations

Abstract

The Workshop on Recommenders in Tourism (RecTour) has been successfully held in conjunction with the ACM Conference on Recommender Systems (RecSys) since 2016, with the exception of one year. This workshop focuses on the unique and evolving challenges of recommender systems in the tourism domain. Over time, RecTour has fostered an active community supported by both academia and industry. This year, the workshop features a special challenge focused on ranking travel reviews. In this overview paper, we outline our motivations for organizing the RecTour workshop and highlight the main topics covered in RecTour submissions, including destination recommendation, privacy concerns in travel recommender systems, the cold-start problem, transformer-based approaches in recommendation systems, and best practices for evaluation and experimentation.

TU Wien (AT), Free University of Bozen-Bolzano (IT), Christian Doppler Laboratory for Thermoelectricity (AT), University of Klagenfurt (AT), University of Haifa (IL)
Decent work and economic growth
Openalex Percentile: Top 16%
Digital Marketing and Social Media
1.13
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