Time for predictive personalization, Google
Wednesday, May 16th, 2007Greg Sterling at Search Engine Land cited an intriguing quote the other day from Marissa Mayer, VP of Search Products & User Experience at Google:
Mayer characterized Google personalization as “one of the biggest relevance advances in the past few years.” She added that “personalization doesn’t affect all results, but when it does it makes results dramatically better.”
Google’s personalization, of course, is based primarily on search history and location. If you visited something in the past, you’re likely to visit it again. And, as Mayer says, this approach can be effective.
Now imagine that the type of reactive personalization being employed by Google were combined with proactive personalization such as that offered by MyWebDNA. If you’ve been reading this blog, you’ll know already that we just announced the validated results of MyWebDNA’s ability to predict the relevance of Google search results, but I’ll recap the important bit for those of you just tuning in:
Users are 14% more likely to click on a Google search link with a high VortexDNA relevance score than on one with a low score.
Because this type of relevance is based on who the user really is, rather than the way the user behaved in the past, it can be predictive rather than reactive. It doesn’t rely on the user having visited a particular site before. And that’s where its power lies: in its ability to map unchanging values onto a changing webscape.
Mayer and everyone else at Google understand the importance of relevance. What I’m suggesting here is that there are different qualities of relevance. Geographic relevance says my location is what’s important. Historic relevance says what I did yesterday is what’s important. Values-based relevance says who I am is the driving force.
The results show that it works. They also show that if who I am is aligned with who you are at the deepest level, we will be more likely to click on the same links than not. Our demographics don’t matter to this technology. Our history doesn’t matter to this technology.
In the same piece, Sterling describes an interesting aspect of Google Gadgets:
Google also uses collaborative filtering to present Gadgets: people who liked Gadget X, liked these other Gadgets.
MyWebDNA follows a similar logic, but takes it to a far more profound level: people who share your values liked Gadget X. People who share your values liked Widget Y.
I’m interested what you have to say on this. Do you believe your values can impact which sites you choose? I’d love to hear from you.
Oh, and if you’d like a copy of the validated results, just shoot me an email: kaila at vortexdna.com.









