How does Google determine which real-time results will appear? They have to filter through an unimaginable volume of information and make a decision in mere seconds. This is a billion dollar question that will be on the minds of search marketers around the globe. Indeed, the question was so on the minds of marketers that in less-than-subtle ways the question was probed throughout the conference yesterday.
As expected the Google representatives at the Search Event 2009 press conference easily danced around related questions but there were a few nuggets worth taking away and mentioning. Essentially Google has applied a new form of algorithmic indicator that Marissa Mayer subtly called an Update Rank.
Here is exactly what she said about real-time data:
“… authoritativeness exists there as well and there are signals there that indicate it. So for example, retweets and replies and the structure of how the people in that ecosystem relate to each other. You can actually use some of our learnings from PageRank in order to develop a, say, a Updates Rank, or an Updater Rank for the specific people who are posting. So this is something we are beginning to experiment with but it is interesting to see that same parallel where PageRank looks at links you can actually look at the very mechanisms inside of these update streams and sense the authoritativeness the same way.”
So based on Marissa’s words and the other take-aways from the conference here is my first draft on what real-time results are based on: Read more…