Record link: 
http://hdl.handle.net/20.500.12708/191202
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Title: 
Workshop on Recommenders in Tourism (RecTour) 2023
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Citation: 
Neidhardt, J., Wörndl, W., Kuflik, T., Goldenberg, D., & Zanker, M. (2023). Workshop on Recommenders in Tourism (RecTour) 2023. In J. Zhang, L. Chen, & S. Berkovsky (Eds.), RecSys ’23: Proceedings of the 17th ACM Conference on Recommender Systems (pp. 1274–1275). Association for Computing Machinery. https://doi.org/10.1145/3604915.3608764
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Publisher DOI: 
10.1145/3604915.3608764
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Publication Type: 
Inproceedings - Editorial
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Language: 
English
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Authors: 
Neidhardt, Julia 
Wörndl, Wolfgang 
Kuflik, Tsvi 
Goldenberg, Dmitri 
Zanker, Markus 
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Organisational Unit: 
E194-04 - Forschungsbereich Data Science 
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Published in: 
RecSys '23: Proceedings of the 17th ACM Conference on Recommender Systems 
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ISBN: 
9798400702419
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Date (published): 
Sep-2023
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Event name: 
17th ACM Conference on Recommender Systems 
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Event date: 
18-Sep-2023 - 22-Sep-2023
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Event place: 
Singapore, Singapore
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Number of Pages: 
2
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Publisher: 
Association for Computing Machinery, New York
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Keywords: 
context-aware recommendations; destination characterization; evaluation of tourism recommenders; next-POI recommendations; Tourism recommenders
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Abstract: 
The Workshop on Recommenders in Tourism (RecTour) 2023, which is held in conjunction with the 17th issue of the ACM Conference on Recommender Systems (RecSys) in Singapore, 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.
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Project title: 
Christian Doppler Labor für Weiterentwicklung des State-of-the-Art von Recommender-Systemen in mehreren Domänen: CDL Neidhardt (Christian Doppler Forschungsgesells) 
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 100%
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Appears in Collections:
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