What is it about?

Sport climbing is a popular activity among tourists in Northern Italy, as the region boasts numerous mountains and climbing areas. However, with the increasing number of climbing spots, it has become challenging to choose a suitable location to visit. Recommender systems are tools which solve such problems. Currently, the existing recommendation system provides suggestions based on the most frequently visited places, but it does not consider the individual context of the users. To address this issue, we have developed a decision support system for climbing places/crags, which automatically models the contextual information of climbing tourists from their logs. Using a web interface, climbers can customize their preferences and receive personalized recommendations on the map based on the visits of similar tourists. This approach ensures that climbers can find the ideal climbing spots that match their interests and skill level.

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Why is it important?

This research is crucial as it addresses a problem that has not been tackled before. By bringing scientific attention to this issue, we can increase people's interest in leading a healthy lifestyle through sport climbing. Moreover, it can help to prevent potentially dangerous situations caused by climbers' incorrect choices of climbing spots. The recommender system we have developed provide climbers with personalised recommendations based on their preferences and context, thereby reducing the likelihood of unexpected events. Furthermore, by attracting more climbers to the region, this research can also generate increased investment in the development of sport climbing. Overall, this work significantly impact the sport climbing industry by improving the experience for climbers and promoting the adoption of a healthy lifestyle through this activity.

Perspectives

As an AI scientist and a sport climber, I have combined my expertise to conduct this research. Sport climbing is an incredible activity that has been shown to decrease depression levels, and I believe that it has enormous potential for creating intelligent solutions. I hope that this work would be the starting point for the future development of recommender systems in sport climbing. By leveraging the power of AI and machine learning, we can continue to improve the climbing experience for enthusiasts while promoting healthy lifestyles. I am excited about the potential for this research to inspire others to explore the intersection of sport climbing and technology, and I look forward to seeing what the future holds in this domain.

Iustina Ivanova

Read the Original

This page is a summary of: Introducing Context in Climbing Crags Recommender System in Arco, Italy, March 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3581754.3584120.
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