TY - GEN
T1 - Workshop on Recommenders in Tourism (RecTour) 2024
AU - Neidhardt, Julia
AU - Kuflik, Tsvi
AU - Livne, Amit
AU - Zanker, Markus
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/10/8
Y1 - 2024/10/8
N2 - 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.
AB - 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.
KW - cold start problem
KW - context-aware recommendations
KW - evaluation of tourism recommenders
KW - Tourism recommenders
KW - travel reviews
UR - http://www.scopus.com/inward/record.url?scp=85210510481&partnerID=8YFLogxK
U2 - 10.1145/3640457.3687107
DO - 10.1145/3640457.3687107
M3 - Conference contribution
AN - SCOPUS:85210510481
T3 - RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems
SP - 1229
EP - 1231
BT - RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems
PB - Association for Computing Machinery, Inc
T2 - 18th ACM Conference on Recommender Systems, RecSys 2024
Y2 - 14 October 2024 through 18 October 2024
ER -