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Doğa Kerestecioğlu
Insight Data Science Fellow, Summer 2016
• Familiarity with songs
increases fun at shows
• Tickets are bought in
advance for the BAND,
NOT for the SONGS
• Familiarity with songs
increases fun at shows
• Tickets are bought in
advance for the BAND,
NOT for the SONGS
• Familiarity with songs
increases fun at shows
• Tickets are bought in
advance for the BAND,
NOT for the SONGS
• Familiarity with songs
increases fun at shows
• Tickets are bought in
advance for the BAND,
NOT for the SONGS
backstage (live)
Calls setlist.fm api
Song Prediction
backstage (live)
Calls setlist.fm api
Gets historical data on the
queried band
Song Prediction
backstage (live)
Calls setlist.fm api
Gets historical data on the
queried band
Create a panel of songs based
on the data
Song Prediction
backstage
Calls setlist.fm api
Gets historical data on the
queried band
Machine Learning
Create a panel of songs based
on the data
Predictions
Song Prediction
real-time backstage
Calls setlist.fm api
Gets historical data on the
queried band
Machine Learning
Calls last.fm api
Scrapes json to get user
listening history
Calculate User’s Top Songs
Create a panel of songs based
on the data
Predictions
Song Prediction Personalization
backstage
Calls setlist.fm api
Gets historical data on the
queried band
Machine Learning
Calls last.fm api
Scrapes json to get user
listening history
Calculate User’s Top Songs
Create a panel of songs based
on the data
Predictions
Song Prediction Personalization
Actionable Insight
Match user’s top songs to
predictions
algorithm
• A random-forests model is trained at the band level
• Observations based on the last 50,000 songs the band has played
• 7 categories one hot-encoded as ~700 features (current Iron
Maiden model: 767)
• song names, event id, venues, tours, cities, countries, new
song
Accuracy 0.92
Precision 0.70
Recall 0.54
ROC Score 0.75
about Doğa
• Economics and Sociology B.A, 2008, McGill
University, Montreal, QC, Canada
• Sociology PhD (expected) Fall 2016, University of
Pennsylvania Sociology Department
• Research in economic and political sociology:
• Diffusion of financial and sociopolitical-crises
across international borders
• Struggles between secularist and religious
authorities during state-formation of Turkey,
France, and Mexico
Setlistör Demo Slides
Setlistör Demo Slides

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Setlistör Demo Slides

  • 1. Doğa Kerestecioğlu Insight Data Science Fellow, Summer 2016
  • 2. • Familiarity with songs increases fun at shows • Tickets are bought in advance for the BAND, NOT for the SONGS
  • 3. • Familiarity with songs increases fun at shows • Tickets are bought in advance for the BAND, NOT for the SONGS
  • 4. • Familiarity with songs increases fun at shows • Tickets are bought in advance for the BAND, NOT for the SONGS
  • 5. • Familiarity with songs increases fun at shows • Tickets are bought in advance for the BAND, NOT for the SONGS
  • 6.
  • 7. backstage (live) Calls setlist.fm api Song Prediction
  • 8. backstage (live) Calls setlist.fm api Gets historical data on the queried band Song Prediction
  • 9. backstage (live) Calls setlist.fm api Gets historical data on the queried band Create a panel of songs based on the data Song Prediction
  • 10. backstage Calls setlist.fm api Gets historical data on the queried band Machine Learning Create a panel of songs based on the data Predictions Song Prediction
  • 11. real-time backstage Calls setlist.fm api Gets historical data on the queried band Machine Learning Calls last.fm api Scrapes json to get user listening history Calculate User’s Top Songs Create a panel of songs based on the data Predictions Song Prediction Personalization
  • 12. backstage Calls setlist.fm api Gets historical data on the queried band Machine Learning Calls last.fm api Scrapes json to get user listening history Calculate User’s Top Songs Create a panel of songs based on the data Predictions Song Prediction Personalization Actionable Insight Match user’s top songs to predictions
  • 13. algorithm • A random-forests model is trained at the band level • Observations based on the last 50,000 songs the band has played • 7 categories one hot-encoded as ~700 features (current Iron Maiden model: 767) • song names, event id, venues, tours, cities, countries, new song Accuracy 0.92 Precision 0.70 Recall 0.54 ROC Score 0.75
  • 14. about Doğa • Economics and Sociology B.A, 2008, McGill University, Montreal, QC, Canada • Sociology PhD (expected) Fall 2016, University of Pennsylvania Sociology Department • Research in economic and political sociology: • Diffusion of financial and sociopolitical-crises across international borders • Struggles between secularist and religious authorities during state-formation of Turkey, France, and Mexico