Search engines have two major functions: crawling and
building an index, and providing search users with a
ranked list of the websites they've determined are the
most relevant.
building an index, and providing search users with a
ranked list of the websites they've determined are the
most relevant.
Imagine the World Wide Web as a network of stops in a big
city subway system.
Each stop is a unique document (usually a web page, but sometimes a PDF
, JPG, or other file). The search engines need a way to “crawl” the entire
city and find all the stops along the way, so they use the best path available
—links.
, JPG, or other file). The search engines need a way to “crawl” the entire
city and find all the stops along the way, so they use the best path available
—links.
The link structure of the web serves to bind all of the pages
together.
Links allow the search engines' automated robots, called "crawlers" or "spiders
" to reach the many billions of interconnected documents on the web.
Once the engines find these pages, they decipher the code from them and
store selected pieces in massive databases, to be recalled later when needed
for a search query. To accomplish the monumental task of holding billions of
pages that can be accessed in a fraction of a second, the search engine
companies have constructed datacenters all over the world.
These monstrous storage facilities hold thousands of machines processing
large quantities of information very quickly. When a person performs a search
at any of the major engines, they demand results instantaneously; even a one
- or two-second delay can cause dissatisfaction, so the engines work hard to
provide answers as fast as possible.
Search engines are answer machines. When a person performs an online
search, the search engine scours its corpus of billions of documents and does
two things: first, it returns only those results that are relevant or useful to the
searcher's query; second, it ranks those results according to the popularity of
the websites serving the information. It is bothrelevance and popularity that
the process of SEO is meant to influence.
" to reach the many billions of interconnected documents on the web.
store selected pieces in massive databases, to be recalled later when needed
for a search query. To accomplish the monumental task of holding billions of
pages that can be accessed in a fraction of a second, the search engine
companies have constructed datacenters all over the world.
large quantities of information very quickly. When a person performs a search
at any of the major engines, they demand results instantaneously; even a one
- or two-second delay can cause dissatisfaction, so the engines work hard to
provide answers as fast as possible.
search, the search engine scours its corpus of billions of documents and does
two things: first, it returns only those results that are relevant or useful to the
searcher's query; second, it ranks those results according to the popularity of
the websites serving the information. It is bothrelevance and popularity that
the process of SEO is meant to influence.
How do search engines determine relevance and popularity?
To a search engine, relevance means more than finding a page with the right
words. In the early days of the web, search engines didn’t go much further than
this simplistic step, and search results were of limited value. Over the years,
smart engineers have devised better ways to match results to searchers’
queries. Today, hundreds of factors influence relevance, and we’ll discuss
the most important of these in this guide.
Search engines typically assume that the more popular a site, page, or
document, the more valuable the information it contains must be. This
assumption has proven fairly successful in terms of user satisfaction with
search results.
Popularity and relevance aren’t determined manually. Instead, the engines
employ mathematical equations (algorithms) to sort the wheat from the
chaff (relevance), and then to rank the wheat in order of quality (popularity).
These algorithms often comprise hundreds of variables. In the search
marketing field, we refer to them as “ranking factors.” Moz crafted a resource
specifically on this subject: Search Engine Ranking Factors.
For more information click link below :
words. In the early days of the web, search engines didn’t go much further than
this simplistic step, and search results were of limited value. Over the years,
smart engineers have devised better ways to match results to searchers’
queries. Today, hundreds of factors influence relevance, and we’ll discuss
the most important of these in this guide.
document, the more valuable the information it contains must be. This
assumption has proven fairly successful in terms of user satisfaction with
search results.
employ mathematical equations (algorithms) to sort the wheat from the
chaff (relevance), and then to rank the wheat in order of quality (popularity).
marketing field, we refer to them as “ranking factors.” Moz crafted a resource
specifically on this subject: Search Engine Ranking Factors.
For more information click link below :
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