Customized Recommendations: Crowley discussed the possibility of a smarter algorithm that would make customized recommendations based on a user’s checkin history.
Brand Discovery: Building upon the idea of a smarter algorithm that would make recommendations based on where you’ve been, Crowley illustrated a future where brands would also be fused into that experience.
Compare this with Facebook’s announcement of Deals yesterday: Recommendations and Deal discovery will be based on Location Proximity and your Friends’ who enjoy deals.
Where have we seen this algorithmic vs. social approach before? 🙂
Also compare these quotes:
“We should be able to offer special deals that you may be interested in and we should be able to offer recommendations for the type of things you should do next.”
“I actually think most people don’t want Google to answer their questions,” he elaborates. “They want Google to tell them what they should be doing next.”
What does this mean?
Foursquare is taking a Googlesque algorithmic approach to location serendipity, while Facebook is focusing on its social aspect.
I think Foursquare is being cornered against a wall. Foursquare’s social graph is a hybrid one, incorporating friends from Facebook, Twitter, and other sources. With Facebook’s ubiquitous mobile platform unveiled yesterday, it has to one-up Facebook. Hence, it is turning to smarter algorithms, in typical Google fashion.
Will Foursquare face the same fate as other social startups thanks to Facebook? Time will tell.