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Google Personal. March 9, 2007 Metamend. Personal Data. Google draws from two primary areas to gather data for the personalization of results. They have been quite clear on this. Google draws from:. Personal Data.

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Google personal

Google Personal

March 9, 2007

Metamend


Personal data

Personal Data

Google draws from two primary areas to gather data for the personalization of results. They have been quite clear on this. Google draws from:


Personal data1

Personal Data

Google draws from two primary areas to gather data for the personalization of results. They have been quite clear on this. Google draws from:

a) Unique Search History


Personal data2

Personal Data

Google draws from two primary areas to gather data for the personalization of results. They have been quite clear on this.

Google draws from:

Unique Search History

Unique Google Bookmarks files


Google personal

Web

Images

News

Froogle (shopping)

Sponsored Links

Video

Maps

Music


Presumably

Presumably

We will see more Metamend and SiteProNews results when I conduct simple searches.


Not yet

NOT YET

  • Personalization is going to take time to show fuller effects.

  • Not enough sample data to make firm conclusions about how SERPs will be altered.

  • Here is what we DO KNOW


Gord gets personal with marissa

Gord Gets Personal With Marissa

  • Gord Hotchkiss from Enquiro (Kelowna) spoke with Marissa Mayer (Head of Product Development, Google)

  • Gord published the interview earlier today

  • http://www.outofmygord.com/archive/2007/02/23/Marissa-Mayer-Interview-on-Personalization.aspx


Key snippets from marissa mayer

Key Snippets From Marissa Mayer

  • Working on personalization for four years - goes back to Kaltix acquisition (Sept 30, 2003)


Key snippets from marissa mayer1

Key Snippets From Marissa Mayer

  • Working on personalization for four years - goes back to Kaltix acquisition (Sept 30, 2003)

  • WTF is Kaltix?


Kaltix

Kaltix

  • “Kaltix Corp. was formed in June 2003 and focuses on developing personalized and context-sensitive search technologies that make it faster and easier for people to find information on the web.”

    From Google Press Release, Sept 2003


Marissa on kaltix

Marissa on Kaltix

  • “We acquired a very talented team in March of 2003 from Kaltix.  It was a group of three students from Stanford doing their Ph.D, headed up by a guy named Sep Kamvar, who is the fellow who cosigned the post with me to the blog. Sep and his team did a lot of PageRank style work at Stanford. 


Marissa on kaltix1

Marissa on Kaltix

  • Interestingly enough, one of the papers they produced was on how to compute PageRank faster.

  • Interestingly enough, the reason they were interested in building a faster version of PageRank was because what they wanted to do was be able to build a PageRank for each user.


Marissa on kaltix2

Marissa on Kaltix

  • So, based on seed data on which pages were important to you, and what pages you seemed to visit often, re-computing PageRank values based on that.

  • PageRank as an algorithm is very sensitive to the seed pages.

  • PERSONALIZED PAGERANK? Hmmm…


Marissa on kaltix3

Marissa on Kaltix

  • And so, what they were doing, was that they had figured out a way to sort by host and as a result of sorting by host, be able to compute PageRank in a much more computationally efficient way to make it feasible to compute a PageRank per user, or as a vector of values that are different from the base PageRank. 


Marissa on kaltix4

Marissa on Kaltix

  • … cutting edge of how personalization would be done on the web.

  • …capable of looking at things like a searcher’s history and their past clicks, their past searches, the websites that matter to them, and ultimately building a vector of PageRank that can be used to enhance the search results.


Google personal

WTF Kaltix?

THAT’S KALTIX

So what is Google doing with it? Ask Bill Slawski

seobythesea.com


Bill looks at patents

Bill Looks at Patents

  • Systems and methods for analyzing a user’s web history

  • Systems and methods for modifying search results based on a user’s history

  • Systems and methods for providing a graphical display of search activity

  • Systems and methods for managing multiple user accounts

  • Systems and methods for combining sets of favorites

  • Systems and methods for providing subscription-based personalization


Per seo nalization old skool

Perseonalization (old skool)

  • Accessibility more important than ever

  • Usability more important than ever

  • Use of XML sitemap… more important than ever

  • Great titles

  • Killer descriptions

  • Geo-modifiers (address, zip/postal, gps)

  • Bookmark me addition (goto GoogleBoomkarks)


Per seo nalization new skool

Perseonalization (New Skool)

  • Social Media Optimization

  • Blogs and comments

  • RSS feeds

  • Audio files (podcasts)

  • Video (lots of question marks here but it’s advancement is a no-brainer)


Per seo nalization

Perseonalization

  • Search is everything.

  • We drive traffic.

  • We are creative webmasters with minds for marketing

  • We work on-page and off-page.


Per seo nalization1

Perseonalization

  • And now we’re gonna work harder.

    Thank you.


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