Here’s an Ignite talk by Hilary Mason, chief scientist at Bitly, explaining how she scraped data from multiple sources to create a service that locates NYC’s most optimal cheeseburger, using an algorithm that balances out price, proximity, and sentiment analysis from various review sites. As Mason points out, this isn’t about cheeseburgers, really: it’s about the power (and limits) of cross-referenced data.
In Search of the Optimal … Cheeseburger
(via O’Reilly Radar)