RunFindr is a service that analyzes running route data and clusters similar routes together to recommend new routes to users based on their starting location. It takes in route data points, clusters the routes based on distance and location, then selects the best routes and allows users to refine the results further based on weighting preferences. The creator, Joerg Fritz, is evaluating features of the recommendations and whether the algorithm is effectively recommending new routes based on starting city and time of year.

1. RunFindr
discover running routes like a local
by Joerg Fritz

2. ?

3. Can we do better?
http://www.runfindr.net

4. The Data
Routes Points

5. Algorithm
place,
distance
Clusters
closest
clusters
Routes

6. Algorithm
place,
distance
Cities
closest
clusters
Routes Points
select best
routes

7. Algorithm
place,
distance
Cities
closest
clusters
user refines display routes
weights
Routes Points
select best
routes

8. Are the features good?
feature score first city
(much more data
to come)

9. Is this doing a good job?
month of year

10. Is this doing a good job?
old city new city
month of year

11. Is this doing a good job?
old city new city
month of year
RunFindr

12. Joerg Fritz