Content-Based Recommendations for Crags and Climbing Routes

Iustina Ivanova (), Marina Andrić () and Francesco Ricci ()
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Iustina Ivanova: Free University of Bozen-Bolzano
Marina Andrić: Free University of Bozen-Bolzano
Francesco Ricci: Free University of Bozen-Bolzano

A chapter in Information and Communication Technologies in Tourism 2022, 2022, pp 369-381 from Springer

Abstract: 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.

Keywords: Climbing tourism; Difficulty assessment; eTourism; Recommender system; Outdoor tourism decision support (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-94751-4_33

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DOI: 10.1007/978-3-030-94751-4_33

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