Proposal for an Efficient Mobile Advertising Model Based on Foursquare Data
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In this presentation, I and 3 fellow Carnegie Mellon graduate students present our findings on Foursquare mayorships, and their diversity in location and venue type. Using this data, we develop an efficient market model for mobile advertising on Foursquare and perhaps other platforms.
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Proposal for an Efficient Mobile Advertising Model Based on Foursquare Data
- 1. Diversity of Foursquare Mayorships: Venue Types and Venue Locations Troy Effner Haris Krijestorac Alan Pan Vishal Patel
- 10. Location Diversity Data Users hold mayorships over pretty diverse locations! Metric Value (in miles) Mean Distance from centroid 0.58 St. Dev. Distance from centroid 0.57 Range of distances from centroid [0.002, 1.875]
- 11. Measuring Venue Type Diversity
- 12. Venue Type Diversity Metrics Note that there are venue categories and venue subcategories … We just use categories Venue Category Arts Food Nightlife Venue Subcategory Museum Ice Cream Lounge
- 15. Venue Type Diversity Data Users hold mayorships in diverse types of venues! But users are pretty similar in their level of diversity. Metric Value Avg. Venue Diversity 0.72 St. Dev. Venue Diversity 0.24
- 20. Acknowledging our Challenges
- 30. Q&A
Notas do Editor
- Vishal
- Alan
- Matt drives to his friends homes before he goes with them to dive bars and diners. He doesn’t stay at these dive bars for long and hops from one to another.
- Mayor of two hotels and one bar within a hotel. Rides the bus to work and buys coffee. Enjoys going to the parks and landmarks as well as the Strip district.
- Bi Modal distributions? Median of distance from centroid?
- Note: 1.875 chosen because it is the maximum average distance from the centroid