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Summary

This study introduces Visit & Climb, a context-aware recommender system for outdoor sport climbing crags. It enhances climber satisfaction by considering contextual factors beyond popularity, improving information sufficiency.

Keywords:
predictive modelspreferences elicitationrankingrecommendationsrecommender evaluationrecommender systemssport climbinguser study

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Area of Science:

  • Recommender Systems
  • Human-Computer Interaction
  • Outdoor Recreation Analytics

Background:

  • Outdoor sport climbing is popular in Northern Italy, but information overload regarding climbing crags poses a challenge for tourists.
  • Existing recommender systems for climbing crags often overlook crucial contextual information (season, accessibility, family-friendliness).
  • Contextual factors significantly influence the feasibility and desirability of visiting outdoor activity locations.

Purpose of the Study:

  • To develop and evaluate a novel context-aware recommender system for sport climbing crags.
  • To address the limitations of existing systems by incorporating contextual information and user preferences.
  • To improve the information sufficiency and satisfaction of climbers planning outdoor sport climbing vacations.

Main Methods:

  • Collected and analyzed crag visit data from an online guidebook in Arco, Italy.
  • Developed the Visit & Climb system, which learns user preferences and contextual tastes from visit logs.
  • Evaluated the system through offline metrics (MAP, Recall, NDCG) and online user studies with experienced climbers.

Main Results:

  • Offline evaluations showed Visit & Climb performs comparably to classical recommender models for top-N recommendations.
  • Online evaluations with 40 experienced climbers indicated Visit & Climb significantly improved information sufficiency.
  • The system's transparency, derived from incorporating contextual information, enhanced user satisfaction and intention to use.

Conclusions:

  • Context-aware recommender systems, like Visit & Climb, are effective for outdoor activity recommendations.
  • Incorporating contextual information and crag characteristics improves recommendation transparency and user satisfaction.
  • The Visit & Climb system offers a valuable tool for climbers seeking personalized crag recommendations.