Everything Blake Shaw said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Foursquare data reveals 73% of venue visits are to previously visited places
“We've seen that 73% of the time a person is going to a place that they've already been to, or 62% of the time they're going to a place that someone in their social network has been to before.”
Effective location machine learning requires mapping raw coordinates to contextual venues
“You can't do machine learning with lat-longs.”
Foursquare commits to not sharing raw user location data with third parties
“We're not going to share your data with anybody without, you know we're just not going to share your data.”
Faking Foursquare accounts with verified GPS trails and social graphs remains difficult
“It's really hard to fake a user with a, like, verified GPS trail going to a business, like, and having these real friends on a social network. You know, like, that's just, it's a very hard thing to fake at the moment, although I, I'm upset to say that, because…”
Foursquare reports 40 million registered users and 4.5 billion total check-ins
“We're, we have over forty million registered users. We're aware of fifty-five million places all over the world. We've collected 4.5 billion check-ins. And we get about six million check-ins per day.”
Foursquare launches automated location recommendations that require no manual check-ins
“The idea, right, is you walk into a venue, and without having to do anything, you get a notification like this on your phone.”
Foursquare triggers automated notifications only when users enter unfamiliar territory
“You know, walk into a neighborhood or a place, and we make sure that you don't miss the most important information about the place that you're at, but only if you're in unfamiliar territory.”
Foursquare claims its background contextual notifications use under 1% battery hourly
“Less than one percent per hour is the, is what it does.”
18% of users shown a Foursquare Explore recommendation check in within days
“With our recommendation product, Explore, 18% of people who see a result in Explore check in there within the first three days.”
Foursquare built NLP models to extract venue recommendations and sentiment from tips
“We've built, you know, sort of NLP models that can read You know, text and extract these key recommendations and figure out their sentiment.”
the MAD Podcast 3