5. Done once for each city:
Search photos in town
Location, time, tags
Extract path of tourists
Scrape sights from the web
Location, description
Find time spent at / between sights
6. Each time a user signs up:
Connect to Facebook
Description of your likes
Latent Semantic Indexing (using nltk and gensim)
Shortest path through top sights (using networkx)
= Best path through sights similar to your likes!
Tools: Ruby
7. Adrian Kuhn
Postdoc, UBC
PhD, University of Bern, Switzerland
“Psychology of programming”
Turning enterprise data into
actionable insights.
I love food and traveling :)