Google’s move with +1 is sparking a lot of conversations but one area which really intrigues me, even before I can see the feature in use myself, is the implication to relevancy via an individual’s social & geo network.
One of the chief issues I’ve always seen with search delivering the right results is the lack of insight into who is searching. With the introduction of +1 Google gains a much more real insight – what those around you are looking at. In aggregate this is useful in killing spam, building up good resources and sorting out poor / unliked results but when applied back to a search’s network whether it’s a contact or location based it becomes hugely powerful.
For example, if I search for “Miramar” result #1 is a city, #2 is a military base and nowhere on page 2 is the result I’m looking for – my former apartment community. Using location Google is able to infer some information about what result I may want, and even shows a map, but it’s not enough certainity to switch out the result set. With +1 data from local (geotargeted) networks they get a whole other dimension of insights to counterweight what is the most relevant (aka most linked too/ word weighted) with what is actually being looked at and suddenly the right result has a real shot of making it up top.
If Google is able to build enough of a profile network, +1 could become even more important in driving search results by understanding that all of my friends searching for a particular sports bar with a generic name or from within a larger chain were looking at the same venue and adjust accordingly, potentially even resetting the result in time given the type of listing.
Facebook is already doing this to some degree by leveraging your own likes, connections and your larger your network to suggest people, places and brand results in searches, and most of the time it’s right on (and with 2 million+ likes, that’s a big headstart). As Facebook and Google war over who is going to control searching, relevancy to the individual has got to be in the top couple of spots for importance and whoever understands the most about the person searching can deliver the best results to win their repeat attention and usage.
Google, while smart to bring in social feedback, is behind in a big way when it comes to making this applicable personally. Facebook and even youtube, twitter and others simply have them beat in connections per user and a partnership a la Amazon’s “your Facebook friends…” would have let them move quicker to incorporate individual social learnings into output. Even without the deep networks for users there’s a lot of implications to improving relevancy right now just by weighting down “-1” results, and of course there’s going to be a lot of blackhat attempts to leverage the tool to influence results too.







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