Google’s Ranking System

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Google is the number one search engine. Are you aware of the technology aspect behind its ranking system? Fully understanding all of their principles is important to understand the ranking system.

The nucleus of their technology involving their methodology is devised for the field of Information Retrieval. This system is a foundation of mathematics, library science, information science, cognitive psychology, information architecture, linguistics, statistics, and physics.

How this retrieval system works is by the searcher requesting the information. The data requested is provided through a software agent that actually pushes that requested information.

The retrieval system may use a full test logical view but in most cases reduces it with a set of keywords. This is done with a process of exclusion of stop words, and the use of stemming, and by identifying noun groups.

 

Note that when this retrieval database is set up, it works in this manner:

The documents are ranked by relevance’s

Then by useful information

Then by a subset seen as of interest

 

This system is basically for ease of retrieving information and not being overloaded by it. This gives Google their groundwork for the formula which they have built on top of, link structure and numerous other innovations.

There are three components of the search process:

1.    The first being the crawling and indexing of the pages but there are other important aspects. Another component is to understand a users search and the important concepts of their particular search even though they many not be obvious. In other words if you were looking for something specific with a place. The search result would pull up the homepage of that site even though the name was not mentioned in the title page.

Google makes other distinctions regarding wording and your updated information.

2.     Best in-class spelling suggestion system asks if you meant a certain spelling to clarify what you are looking for.

Advanced  synonyms system- The synonyms of the queries is related to where a user asks for an item such as dresses for a wedding, and automatically the results are wedding gowns.

Very strong concept analysis system-The algorithms understand what the user is looking for to return the results that they are looking for. There is differentiation in place and particulars in the search.

3.    Google understands its users and localities. The results that a user is looking for is on “best locally relevant results served globally”.

Another feature is for those that have Google accounts and are actually logged into them while searching. While doing a query they “tailor” the results to the user.

Finally there is the Cross Language Information Retrieval technology. This translates language of another into English.

 

While word frequency and page structure always comes into play we may not think about all of the technology behind how the entire process works. It is important to understand this and Google’s philosophies.

 

End Note: Amit Singhal. Official Google Blog, July 22, 2008.

Author:

Sandi Baker

http://letusgetitdone.info

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