This document discusses Komoot, an outdoor recommendation service that uses geodata processing to provide customized tour planning and recommendations. It allows users to contribute their own excursions and tips, which are then deduplicated and enhanced with open data to ensure high-quality content. This user-generated and open data-powered service aims to offer more customized recommendations and support than conventional outdoor guides by leveraging insights from many contributors.

1. Outdoor Recommendation
Based On Multilevel Geodata Processing
Christoph Lingg – christoph@komoot.de

2. komoot

3. komoot

4. Conventional Outdoor Guides
Drawbacks
● limited number of tours
● no insider tips
● limited coverage
● no customization
● no support underway
● no user feedback

5. User Contributors

6. Contribute After an Excursion

7. Highlight Creations

8. Deduplication

9. Content Quality

10. Enhancing with Open Data

11. Perfect for Tour Planning

12. Perfect for Tour Planning

13. Smart Tours

14. Komoot Outdoor Recommendation
www.komoot.de