About Search Engines

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Why you need Search engine optimization?

? Is your site currently ranked in the top 10 on the major search engines? If the answer is an emphatic "no", let the search engine optimization experts boost your ranking. Web site promotion is more than simply submitting your Web site to thousands of search engines. If you really want to generate traffic -- and revenue -- you must tweak your site to include specific keywords and features the search engines look for when spidering your Web site. This tweaking is known as search engine optimization or Web site optimization and is included in all of Submit Today?s search engine optimization.

With Submit Today?s search engine optimization, your Web site will be analyzed, optimized and submitted for top ranking with an ever-growing list of search.

? So, how does it work? After a complete review of your existing Web site and a study of your competition, we thoroughly research the keywords that will bring you targeted traffic. We will then fully optimize your site for maximum ranking potential. Lastly, we manually submit your site to the top search engines. All of our search engine optimization techniques are highly ethical -- we (SEO Experts India) don't use "illegal" search engine optimization tactics such as cloaking, doorway pages or hidden text to achieve top ranking. 
What Are Search Engines?

A search engine is a database system designed to index and categorize internet addresses, otherwise known as URLs (for example, http://www.google.com).
There are four basic types of search engines:

? Automatic: These search engines are based on information that is collected, sorted and analyzed by software programs, commonly referred to as "robots", "spiders", or "crawlers". These spiders crawl through web pages collecting information, which is then analyzed and categorized, into an "index". When you conduct a search using one of these search engines, you are really searching the index. The results of the search will depend on the contents of that index and its relevancy to your query.
? Directories: A directory is a searchable subject guide of Web sites that have been reviewed and compiled by human editors. These editors decide which sites to list, and, in which categories.
Meta: Meta search engines use automated technology to gather information from a spider and then deliver a summary of that information as the results of a search to the end user.
? Pay-per-click (PPC): A search engine that determines ranking according to the dollar amount you pay for each click from that search engine to your site. Examples of PPC search engines are Overture.com and FindWhat.com. The highest ranking goes to the highest bidder.
There are a few downfalls you should know about using PPCs:
? The use of PPC search engines will not improve your search engine positioning in the regular editorial search results. Instead, on paid listings because they look at it as an advertisement. In the past, pthey will most always appear in a "Sponsored" or "Featured" area located at the top or side of the regular search page results. Even though your paid listing will appear at the top of the search page, many users will not click eople used to always click on banner ads, but now they are seen more of as a nuisance. Similarly, the same thing is happening with PPC listings. Also, PPC listings are not always as relevant to a query as the editorial search results.

?
If your site is not effectively search engine optimized before you begin to submit it to a PPC, it will still be poorly advertised afterwards. The optimization of your Web site is critical to the success of your rankings.

? When you stop paying for a PPC submission, your listing disappears and so does the traffic.
PPCs can be an effective short-term solution for gaining exposure and driving immediate traffic to your Web site while you wait for full indexing, but it can become expensive if you use it as a long-term solution.

How Do Search Engines Work?

Search engines compile their databases with the aid of spiders (a.k.a. robots). These search engine spiders crawl the Internet from link to link, identifying Web pages. Once search engine spiders find a Web site, they index the content on those pages, making the URLs available to Internet users. In turn, owners of Web sites submit their URLs to search engines for crawling and, ultimately, inclusion in their databases. This is known as search engine submission.
When you use search engines to find something on the Internet, you're basically asking the search engine to scan its database and match your keywords and phrases with the content of the URLs they have on file at that time. Spiders regularly return to the URLs they index to look for changes. When changes occur, the index is updated to reflect the new information.

What Are The Pros And Cons Of Search Engines?

Pro: With the vast wealth of information available on the Internet, search engines are the most effective and efficient way to find information based on your specific search requests.
Con: Because search engines index mass quantities of data, you are likely to get irrelevant responses for certian search requests.

Are Search Engines All the Same?


Search results vary from search engine to search engine in terms of size, speed and content. The results will also vary based on the ranking criteria the search engines use. If you aren't getting the results you need, try a different search engine. While the results may not be wildly different, you may get a few search results from one search engine that you didn't from another.

How Do Search Engines Rank Web Pages?

The citation (link) graph of the web is an important resource that has largely gone unused in existing web search engines. We have created maps containing as many as 518 million of these hyperlinks, a significant sample of the total. These maps allow rapid calculation of a web page's "PageRank", an objective measure of its citation importance that corresponds well with people's subjective idea of importance. Because of this correspondence, PageRank is an excellent way to prioritize the results of web keyword searches. For most popular subjects, a simple text matching search that is restricted to web page titles performs admirably when PageRank prioritizes the results (demo available at google.stanford.edu). For the type of full text searches in the main Google system, PageRank also helps a great deal.

Description of PageRank Calculation

Academic citation literature has been applied to the web, largely by counting citations or backlinks to a given page. This gives some approximation of a page's importance or quality. PageRank extends this idea by not counting links from all pages equally, and by normalizing by the number of links on a page. PageRank is defined as follows:
We assume page A has pages T1...Tn which point to it (i.e., are citations). The parameter d is a damping factor which can be set between 0 and 1. We usually set d to 0.85. There are more details about d in the next section. Also C(A) is defined as the number of links going out of page A. The PageRank of a page A is given as follows:
PR(A) = (1-d) + d (PR(T1)/C(T1) + ... + PR(Tn)/C(Tn))
Note that the PageRanks form a probability distribution over web pages, so the sum of all web pages' PageRanks will be one.
PageRank or PR(A) can be calculated using a simple iterative algorithm, and corresponds to the principal eigenvector of the normalized link matrix of the web. Also, a PageRank for 26 million web pages can be computed in a few hours on a medium size workstation. There are many other details which are beyond the scope of this paper.
Intuitive Justification
PageRank can be thought of as a model of user behavior. We assume there is a "random surfer" who is given a web page at random and keeps clicking on links, never hitting "back" but eventually gets bored and starts on another random page. The probability that the random surfer visits a page is its PageRank. And, the d damping factor is the probability at each page the "random surfer" will get bored and request another random page. One important variation is to only add the damping factor d to a single page, or a group of pages. This allows for personalization and can make it nearly impossible to deliberately mislead the system in order to get a higher ranking.

Another intuitive justification is that a page can have a high PageRank if there are many pages that point to it, or if there are some pages that point to it and have a high PageRank. Intuitively, pages that are well cited from many places around the web are worth looking at. Also, pages that have perhaps only one citation from something like the Yahoo! homepage are also generally worth looking at. If a page was not high quality, or was a broken link, it is quite likely that Yahoo's homepage would not link to it. PageRank handles both these cases and everything in between by recursively propagating weights through the link structure of the web.
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Search Engine Optimization Tips

Search engine optimization can be difficult and confusing. Knowing this we decided to put together some tips to help you with the process. They cover everything you need to know about optimizing your web pages for the search engines quickly and easily.

Site Design/Set-Up Problems

If your site does not use Frames, Flash, Javascript, Image Maps, or Dynamic URLs you can skip to the next tip, or go back to the main search engine optimization tips page.
Unfortunately for some of you there are some site design/set up issues that can make it very difficult for the search engines to list your web pages no matter how well you optimize and submit them. We list them here, before you get into all the search engine optimization tips, to hopefully save you from trying to list a site that that will be very difficult to get listed. Almost everything can be fixed or worked with one way or another before you submit. The most common problems are Sites that use:
? Frames.
? Dynamic URLs.
? Flash.
? Image Maps for navigation.
? Javascript for navigation.

So what have we learned?

Basic search engine optimization is:
A combination of On page and offpage criteria
Knowing your market
Researching your keywords
Implimenting search engine friendly design
Optimizing your visible text
SEO-ing your header
Utilizing alt tags, anchors and links
Taking advantage of inbound links and pagerank
Avoiding frames - Java and flash in moderation

We have covered many of the basics of search engine optimization in this tutorial and this knowlege base will be a great starting point for anyone who is willing to take the time to implement the suggestions here.

It has been our pleasure serving you and encourage you to contact us at any time with your feedback.

Warmest regards
SEO team

Like what you read? Don't forget to tell your friends - or better yet if you feel that what I have to offer can benefit your visitors (or you just wanna help spread the word) give me a link from your site, you'll be glad you did.


Publication Date: Friday 14th May, 2004
Author: Pradeep Sv View profile

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