Comments on: How Google’s ranking criteria have changed over time http://www.rickwhittington.com/blog/how-googles-ranking-criteria-have-changed-over-time/ Helpful tips to make your website more effective from Rick Whittington Consulting, Richmond, Virginia Mon, 26 Sep 2011 14:29:17 +0000 hourly 1 http://wordpress.org/?v=3.3.1 By: Vijay R http://www.rickwhittington.com/blog/how-googles-ranking-criteria-have-changed-over-time/comment-page-1/#comment-56302 Vijay R Mon, 20 Apr 2009 09:42:33 +0000 http://www.rickwhittington.com/blog/?p=396#comment-56302 Some things don't gel with the original post. First, the data to back up these factors is just not there - Rand only says that its his opinion. Second, PageRank, the algorithm, *is* a means of determining authority and trust based on graph theory. Some of the things which have not been considered, which may be very important (I speak as a computer scientist who has a little familiarity with information retrieval theory). * possible enhancements, again based on graph theory, which Google may be using. For instance, use detection of cliques to find spammers. * Google has a ton of user feedback, in terms of clicks on links. They are almost certainly using this feedback loop to (machine) learn relevance and authority. More recently, their wikifying of their SRP could be seen as an attempt at getting similar kind of feedback. * Region/demographic specific enhancements. Demographic may become very important given their new initiatives in getting people to register with Google (gmail, etc.) * Semantic analysis of data to "learn" from signals in the web page, user queries, etc. Vijay Some things don’t gel with the original post. First, the data to back up these factors is just not there – Rand only says that its his opinion. Second, PageRank, the algorithm, *is* a means of determining authority and trust based on graph theory.

Some of the things which have not been considered, which may be very important (I speak as a computer scientist who has a little familiarity with information retrieval theory).

* possible enhancements, again based on graph theory, which Google may be using. For instance, use detection of cliques to find spammers.

* Google has a ton of user feedback, in terms of clicks on links. They are almost certainly using this feedback loop to (machine) learn relevance and authority. More recently, their wikifying of their SRP could be seen as an attempt at getting similar kind of feedback.

* Region/demographic specific enhancements. Demographic may become very important given their new initiatives in getting people to register with Google (gmail, etc.)

* Semantic analysis of data to “learn” from signals in the web page, user queries, etc.

Vijay

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