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by Dave Morgan
, Featured Contributor,
September 9, 2010
Yesterday, Google announced the formal launch of Google Instant, a new feature in its core search product that automatically provides real-time recommendations as you type the letters and words in
your search query. Basically, Google tries to guess what you're looking for and speed you along on your search by providing dynamically changing strings of potential search terms that you can choose.
Previously, Google didn't really start working on the search until after you hit the enter key.
Is this a big deal? If you're Google, it certainly is. If only a small number of searchers
choose the engine's "recommended" searches, it will probably gain enormous savings in computing time and resources. If Google Instant improves the user experience so even a tiny fraction of folks use
Google for more searches, this would have enormous revenue implications. That's the nice thing about having a massive, dominant, cash-producing machine running at enormous scale; even the tiniest
tweaks can yield outsize returns.
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Is this a big deal for everyone else? I don't think so, at least not yet. However, I do think that the application of dynamic, incremental personalization and
recommendation is going to have an enormous impact on digital media and marketing over the next several years. You don't have to subscribe to Google CEO Eric Schmidt's somewhat extreme predictions
about the future of robotic serendipity, and the notion that machines will soon know more about what we want then we will ourselves.
Clearly, there is more relevant and valuable information in
the world than there is the time and attention for any of us to consume and digest it. Anything that can significantly improve that process -- even incrementally -- will find value in the marketplace.
I believe that we will see a number of different applications of this "just-in-time serendipity" technology in places beyond search. We already see it in productivity tools. Spell-checkers use it. So
do systems that try to predict what we're trying to type, such as the auto-suggest on the iPhone.
Many of the display ads that we see online are guided by data and predictive technologies that
try to better predict what we might respond to. So, too, is dynamic personalization used on headlines and links presented on many news sites. TiVo, Amazon and Netflix have been offering personal
recommendations for some time, and certainly can evolve those to relative real time fairly easily.
However, I believe that we're still a long way away from a world where we each receive fewer,
more relevant ads and more awareness of all the information and entertainment out there that we might enjoy. Much has been promised over the years when it comes to providing people with dynamic
serendipity -- and a lot less clutter -- in digital media offerings, but delivering on these promises continues to fall short. Google Instant is at least a tangible and substantial step in that
direction. What do you think?