Greg Linden, a friend to the site back when I was writing the first book, is writing more lately, and he’s got a great post about Google Maps data that highlights why we’ve decided to focus on “The Data Frame” for the Web 2 Summit this year.
Greg notes that Google has a new signal to which it can pay attention, thanks to Google Maps. And while I’m sure Greg could have figured this out on his own, he didn’t have to, because some Googlers have already published their findings in a paper titled “Hyper-Local, Direction-Based Ranking of Places.”
In short, the paper posits that when people signal their intent to go from place A to place B, they are creating the equivalent of a link, or a vote, for the place to which they are requesting directions. Pretty clever. As Greg notes:
…certain very large search engines have massive logs of people asking for directions from A to B, hundreds of millions of people and billions of A to B queries. And, it appears this data may be as or more useful than user reviews of businesses and maybe GPS trails for local search ranking, recommending nearby places, and perhaps local and personalized deals and advertising.
What Greg (and I) found surprising is that Google hasn’t been leveraging this new data signal in its current Maps (and other local) products. It’s clearly a strong signal, and one that could inform all sorts of social context as well. Can you imagine finding out others who have asked for similar directions, and then connecting you to them in some way? I sure can.
I’d also love to see a heat map of directions in real time, overlaid in time, space, and social graph.
Data like this mashed up with reviews, real time traffic, and more will be extraordinarily useful. Food for thought.