Content-Based Recommendations for Crags and Climbing Routes

Ivanova, I. 2022. Content-Based Recommendations for Crags and Climbing Routes. ENTER 2022 eTourism Conference, January 11-14, 2022. Nankai University, Tianjin, China 11 - 14 Jan 2022 Springer Nature. https://doi.org/10.1007/978-3-030-94751-4_33

TitleContent-Based Recommendations for Crags and Climbing Routes
AuthorsIvanova, I.
TypeConference paper
Abstract

Climbing is a popular sport for active tourists and recreational sportsmen. Alpine climbing areas, such as the Alps, can attract tourists from all over the world. Various websites, mobile applications, and books are used by climbers to obtain information on important aspects of the available climbing routes, including their properties, location, and especially their difficulty. Considering this large amount of information and options, it is in reality difficult for climbers to properly select which routes to climb. Hence, we propose recommendation technologies aimed at supporting climbers in this decision task. The developed system prototype constructs a climber’s profile with preferences derived from climber’s logbook data collected by a mobile app. Then, the system can recommend suitable crags and climbing routes within the selected crags. The designed interface and the basic computational models for such a system prototype are presented. The proposed technology aims at complementing existing electronic climbing guidebooks and providing decision support to climbers.

Year2022
Conference ENTER 2022 eTourism Conference, January 11-14, 2022
PublisherSpringer Nature
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Publication dates
Published07 Jan 2022
Book titleInformation and Communication Technologies in Tourism 2022: Proceedings of the ENTER 2022 eTourism Conference, January 11-14, 2022
ISBN9783030947507
9783030947514
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-94751-4_33

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