PageRank Technology
PageRank Technology:
PageRank reflects Google's, MSN's, Bing's, Yahoo's, etc view of the importance of web pages by considering more than 500 million variables and 2 billion terms. Pages that they believe are important pages receive a higher PageRank and are more likely to appear at the top of the search results.
PageRank also considers the importance of each page that casts a vote, as votes from some pages are considered to have greater value, thus giving the linked page greater value. They have always taken a pragmatic approach to help improve search quality and create useful products, and the technology uses the collective intelligence of the web to determine a page's importance.
Hypertext-Matching Analysis:
The search engines also analyzes page content. However, instead of simply scanning for page-based text (which can be manipulated by site publishers through meta-tags), the technology analyzes the full content of a page and factors in fonts, subdivisions and the precise location of each word. They also analyze the content of neighboring web pages to ensure the results returned are the most relevant to a user's query.
The life span of a Robot query:
A Robot query normally lasts less than half a second, yet involves a number of different steps that must be completed before results can be delivered to a person seeking information.
1. The web server
sends the query to the index servers. The content inside the
index servers is similar to the index in the back of a book -
it tells which pages contain the words that match the query.
2.The query travels to the doc servers, which actually retrieve
the stored documents. Snippets are generated to describe each
search result.
3. The search results are returned to the user in a fraction of a second.
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