Recommendation Systems for Digital Out of Home Advertising

Recommendation Systems for Digital Out of Home Advertising

Toronto Machine Learning Series (TMLS) via YouTube Direct link

PROBABILISTIC MODELING

14 of 20

14 of 20

PROBABILISTIC MODELING

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Classroom Contents

Recommendation Systems for Digital Out of Home Advertising

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  1. 1 Intro
  2. 2 DOOH EXAMPLE
  3. 3 THE IMPACT OF DOOH
  4. 4 WHAT IS DYNAMIC DOOH
  5. 5 DOOH HAS ITS CHALLENGES
  6. 6 HOW FLEX SMARTENGINE WORKS
  7. 7 THE CHALLENGE
  8. 8 WITH FLEX SMARTENGINE
  9. 9 THE CONTENT
  10. 10 ONLINE VS DOOH
  11. 11 CONTENT CATEGORIZATION
  12. 12 DATA SOURCES
  13. 13 GEOGRAPHIC REPRESENTATION OF AUDIENCE
  14. 14 PROBABILISTIC MODELING
  15. 15 POWERBI MODEL INSIGHTS DASHBOARD- DEMO
  16. 16 LIBRARY OF ADS REFERENCE TABLE FOR ADS COLLECTED OVER TIME
  17. 17 SMARTENGINE BACKEND AUTOMATION CHALLENGE RESOLUTION
  18. 18 HOW TO MEASURE RECOMMENDED CONTENT PERFORMANCE
  19. 19 SUMMARY
  20. 20 KEY TAKEAWAYS

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