Last week Facebook unveiled it’s newest product, or what Mark Zuckerberg called Facebook’s newest pillar: Graph Search.
Using natural language, users will be able to search within Facebook for things like: “friends who live in Seattle,” or “friends who listen to Kanye.” It’s very similar to how we use Google. The upshot, of course, is that Facebook is filled with all kinds of personal data that is not accessible to Google’s indexing and the wider internet.
Using our “social graph,” Facebook’s nerd language for the online networks we’ve woven together, Zuckerberg and company will offer a personalized search. Rather than use complex algorithms informed by people’s online behavior (like Google), Facebook will run it’s custom query using our friends and jobs, the things we’ve “liked” and the places we’ve been.
As I’ve written before, this is exactly what the new Foursquare is doing.
While many tech observers see “social,” “local,” or “personalized,” as the future of search engines, there are reasons to avoid the quick embrace. For starters, Google works pretty damn well. Secondly, if I’m looking to a trustworthy friend to recommend a restaurant or a mechanic, wouldn’t I just text that person?
Another issue mentioned by many reporters is that most people don’t use Facebook or Foursquare the way power users do. So while, in theory, a personalized social search may be more valuable to me it’s also a lot more limited in scope. How many of your friends actually rate their music and movies and then post online? (Usually it’s just that crazy handful of people who blow up your news feed.)
Facebook’s promo vid makes this kind of information culling look like an enriching experience. While I’m very skeptical, I’ll wait for the roll out before I become a full on naysayer.