then presumably that dog would be better at hunting than other dogs. Likewise, if links to a website are

primarily health related, then the website would rank better for health related keyword phrases.

Therefore, prior to the mid 2003 era, Google rankings were largely dependant on what others said you were

(link reputation). In the new era, your rankings will be dependant on who is saying what you are (link

relevancy and link reputation).

Yahoo and MSN do not have TSPR, but they can employ similar schemes. Their strategy could involve the

classification of websites and the correlation of keyword phrases with each category. Then Yahoo and MSN

could determine which links to your website are

relevant to your subject matter and filter out the

benefits of non-relevant links.

This may sound easy enough but the implementation

of TSPR or website classification strategies are

extremely complex. First consider that every keyword

phrase must be classified. Then every website page

must be classified. Now do this across 4+ BILLION

website pages that are continually being

modified/changed/added and deleted and deliver

search engine result pages (SERPs) in less then 0.25

seconds. The classification task alone is enormous

requiring extensive computing power and the most

advanced semantics algorithms (the study of words

and their meanings).

Google appears to be way ahead in this process.

They have already created beta programs that can be

used to seed their keyword classification process. It is

likely that Google is allowing the public to use these

beta programs so that they can classify keyword

phrases in real time. If the data is statistically

significant, this process can be used to loop back into

their Topic Sensitivity algorithm. The more it is used,

the better it gets.

Other search engines may need to wait for advances in computer technology and semantics. The best

semantics algorithms have an accuracy of about 40% compared to the `golden standard'. This is not a very

encouraging value but it is far better than results just 2 years ago; so much better that industry is starting to

apply significant resources.

Even with semantics advances, systems must be scaleable. 64 bit microprocessors are well suited to

semantics calculations and will have a significant impact on calculation speeds over current 32 bit

microprocessors. In coming years, Search Engines will be able to take advantage of lower cost 64 bit

microprocessors and semantic algorithm advances that will directly affect SERP quality.