Search Engine Optimization

 

A search engine is defined as a web-site that searched for relevant context from the web. The steps that a search engine follows are based on algorithms each chooses differently; namely Yahoo, Bing, Google, or others.

Each of these search engines have these many steps to follow in their algorithms

  • Crawling – A spider or a crawler throws a net around in the web and propagates from a web-site to another web-site, through the common connect.
  • Indexing or Content Tagging – This is the process where the spider or a crawler actually tags certain keywords from the site and stores it in a huge database.
  • Processing – This allows matching the search keywords on the search engine with the indexed pages for relevancy.
  • Calculating Relevancy – This process matches the likeness of the content in the indexed database with the key words via different algorithms for matching.
  • Displaying Results – This allows the display of the results as a web-page.

 

Interestingly, all of these search engines actually have different algorithms for calculating relevancy. Let us try to find some of the attributes governing them, and the ones that might need some attention.

  • Older Page Vs. Newer Page – Reportedly, Google displays a page that is fresher than Bing or Yahoo that prefers matured in time pages.
  • Heavy content Vs. Low Content – Density of stronger or heavy vocabulary use in the site relevant to the search key word density, can determine the path of the algorithm.
  • Analysis of Indexes – Different algorithms use different type of analysis for the indexes, which in turn tag the content of the web-site. Some pick up the tags, some pick up the referred words, while some other pick the whole text. I would prefer a slow working crawler or a spider that analyze the whole text and takes time, along with the ones that picks up only tags.
  • Traffic – The algorithm should also see the related traffic that goes in search of the web-site for a search or visit, to understand the ranking of the pages during the display.
  • Traffic Density – The algorithm can also try to find the density of the search of the web-site.
  • Internal Rating Systems – The algorithms can use an internal rating system for the indexed pages for a daily update assisting the display.
  • Combining Possibilities – The search engine can combine the various permutations and combinations of the key-words used in the search engines and rank the combinations so that the relevant pages for display can be bred from ranking of indexes and combinations.
  • Algorithm Analysis – This can be done using keyword density, links or meta tags.

So, we can feel that algorithms for search engine can use these features towards their optimization.

 

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