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Insight Data Science 
Sept 2014 
Helena Wang
Which locations should you visit and how do you 
visit them optimally?
800k for NYC
800k for NYC 
Spatially cluster 
(DBSCAN)
local photo density (t) 
overall photo density (t) 
Bryant park 
High Line park 
Time of day (hour) 
Normalized 
photo density (%) 
800k for NYC 
Spatially cluster 
(DBSCAN) 
Time course 
of interest
local photo density (t) 
overall photo density (t) 
Bryant park 
High Line park 
Time of day (hour) 
Normalized 
photo density (%) 
800k for NYC 
Spatially cluster 
(DBSCAN) 
Time course 
of interest 
Duration of visit 
user 1 
time spent 
location 1 
first last time
local photo density (t) 
overall photo density (t) 
Bryant park 
High Line park 
Time of day (hour) 
Normalized 
photo density (%) 
800k for NYC 
Spatially cluster 
(DBSCAN) 
Time course 
of interest 
Duration of visit 
Median 
user 1 
time spent 
location 1 
first last time 
location 1 
location 1 
user 2 
user 3 
...
local photo density (t) 
overall photo density (t) 
Bryant park 
High Line park 
Time of day (hour) 
Normalized 
photo density (%) 
800k for NYC 
Spatially cluster 
(DBSCAN) 
Time course 
of interest 
Duration of visit 
Median 
user 1 
time spent 
location 1 
first last time 
location 1 
location 1 
user 2 
user 3 
Score path 
Σc ∈ path [ 1/distancec−1→c × scorec (t) ] 
...
Where do the locals go? 
non-NYC users 
Time of day (hour) 
Normalized 
photo density (%) 
Williamsburg (Bedford Ave) 
NYC users
Where do the locals go? 
non-NYC users 
Time of day (hour) 
Normalized 
photo density (%) 
Williamsburg (Bedford Ave) 
• Alphabet City/ Thompkins Square Park 
• North Williamsburg 
• Dumbo / Main Street Park 
• Brooklyn Museum / Prospect Park 
Some “gems” 
(high NYC to 
non-NYC user ratio) 
NYC users
Helena Wang 
Neuroscience/Vision
Extras
Higher interest scores correspond 
to more touristy locations 
Touristiness Score = 
Σ j -dj2/(2σ2) × (1/ rankj) 
dj = distance to landmark j 
rankj = ranking of landmark j 
Landmarks/ranking determined from 
Tripomatic.com 
Log photo density 
Log touristiness score 
r = 0.60 
p = 2.4e-8
Estimated visit durations for example locations 
2.1 hrs Javits Convention Center 
1.8 hrs Yankee Stadium 
1.8 hrs Arthur Ashe Tennis Stadium 
... 
0.7 hr Liberty Island/Statue of Liberty 
0.7 hr Fountain in Central Park 
0.5 hr Brooklyn Bridge
Photo density for weekends vs weekdays 
Time of day (hour) 
Normalized photo density (%) 
Weekday 
Weekend

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  • 1. Insight Data Science Sept 2014 Helena Wang
  • 2. Which locations should you visit and how do you visit them optimally?
  • 4. 800k for NYC Spatially cluster (DBSCAN)
  • 5. local photo density (t) overall photo density (t) Bryant park High Line park Time of day (hour) Normalized photo density (%) 800k for NYC Spatially cluster (DBSCAN) Time course of interest
  • 6. local photo density (t) overall photo density (t) Bryant park High Line park Time of day (hour) Normalized photo density (%) 800k for NYC Spatially cluster (DBSCAN) Time course of interest Duration of visit user 1 time spent location 1 first last time
  • 7. local photo density (t) overall photo density (t) Bryant park High Line park Time of day (hour) Normalized photo density (%) 800k for NYC Spatially cluster (DBSCAN) Time course of interest Duration of visit Median user 1 time spent location 1 first last time location 1 location 1 user 2 user 3 ...
  • 8. local photo density (t) overall photo density (t) Bryant park High Line park Time of day (hour) Normalized photo density (%) 800k for NYC Spatially cluster (DBSCAN) Time course of interest Duration of visit Median user 1 time spent location 1 first last time location 1 location 1 user 2 user 3 Score path Σc ∈ path [ 1/distancec−1→c × scorec (t) ] ...
  • 9. Where do the locals go? non-NYC users Time of day (hour) Normalized photo density (%) Williamsburg (Bedford Ave) NYC users
  • 10. Where do the locals go? non-NYC users Time of day (hour) Normalized photo density (%) Williamsburg (Bedford Ave) • Alphabet City/ Thompkins Square Park • North Williamsburg • Dumbo / Main Street Park • Brooklyn Museum / Prospect Park Some “gems” (high NYC to non-NYC user ratio) NYC users
  • 13. Higher interest scores correspond to more touristy locations Touristiness Score = Σ j -dj2/(2σ2) × (1/ rankj) dj = distance to landmark j rankj = ranking of landmark j Landmarks/ranking determined from Tripomatic.com Log photo density Log touristiness score r = 0.60 p = 2.4e-8
  • 14. Estimated visit durations for example locations 2.1 hrs Javits Convention Center 1.8 hrs Yankee Stadium 1.8 hrs Arthur Ashe Tennis Stadium ... 0.7 hr Liberty Island/Statue of Liberty 0.7 hr Fountain in Central Park 0.5 hr Brooklyn Bridge
  • 15. Photo density for weekends vs weekdays Time of day (hour) Normalized photo density (%) Weekday Weekend