Search Engine Optimization Guide for Webmasters [senior Hs Paper]
Search Engine Optimization Guide for Webmasters [senior Hs Paper]
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Home Page > Internet > SEO > Search Engine Optimization Guide for Webmasters [senior Hs Paper]
Search Engine Optimization Guide for Webmasters [senior Hs Paper]
Posted: Nov 25, 2007 |Comments: 0
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Introduction
Search Engines have developed into the Internet’s most popular and powerful source of information, accounting for an estimated 80% of the Internet’s traffic (Heche, 2007, p. 1). As a result, website owners are realizing the power in such devises and are shifting marketing budgets into the optimization of their sites specifically for search engines. During the toddler years of search engine optimization (SEO), crafty developers took advantage of weak search engine algorithms to display their websites in top results, regardless of their site’s relevance. However, as more advanced Internet search engine technologies emerged to solve such exploits, new SEO methods were pursued (Boykin, 2007, p. 1). With the growth in search engine popularity and accuracy, and with newly emerging techniques used to target such engines, SEO has become a cut-throat competitive industry that is quickly being dominated in its utilization by big-business corporations (Murray, 2007, p. 1). Regardless of a company size and status, however, company webmasters with basic knowledge of HTML and blogging can establish top search engine rankings for websites that target niche markets with great efficiency by employing specific on-page and off-page SEO techniques.
A Search Engine Primer
Search engines did not become popular overnight. In fact, it took half a decade for the general public to catch on to the power of them. Search engines have become a woven part of society only because of their brilliant architecture; systems with frameworks so complex, yet so simple in user utilization that a novice can operate it. Concisely, the modern search engine is an intricate tool formulated to minimize the discovery time of information by minimizing result digression and maximizing result accuracy based on hundreds of relative factors. The basic functionality of a search engine includes content discovery, indexing, querying, and ranking (Fishkin, 2007, p. 4).
Content discovery is often referred to as “Web crawling”. The analogy of the “Web” is an important concept to grasp, since its analogy will act as a backbone to understanding the search engine discovery process and the terminology involved. The internet can be generally referred to as the World Wide Web, or just Web for short, because the structure of the internet most resembles the structure of a spider web (Davis, 2005, p. 1). Each of the billions of pages of content are linked together in some way or another to create an incomprehensibly large network of connections. Consequently, search engines have called their automated programs that crawl this web “bots” or “spiders”. Modern crawlers revisit indexed sites on a regular basis to look for changes or revisions. Sites are normally updated by the crawler between a one or two months time. In estimation, search engines have only crawled about half of the Web’s content pages, accounting for between eight to ten billion pages (Fishkin, 2007, p. 4).
Every page that is crawled on the Web by a search engine is placed into a gigantic database called an index or sometimes a catalogue. Massive organization is applied to the index in a way that requests can sort through billions of pages and find relevant matches within just fractions of a second. Sometimes it can take a considerable amount of time for a search engine to actually index a site after crawling it. During this time, the site will not be available on index to those searching (Fishkin, 2007, p. 4).
Content querying is the provision of an interface or gateway connecting the human user and the results waiting inside the search engine database. The results vary in type from web pages to online published word processor documents, and are returned to the user based on the criteria they indicate. The method a user might use to indicate criterion varies based on the search engine. Search engines normally provide a blank text input field in which the user can type terms or phrases into then press a button to send the query to the search engine for processing. Many modern search engines incorporate exclusive input syntaxes that a user might learn to take full advantage of the search engine’s power. Natural language searches, however, allow a user to input full sentence-structured questions instead of requiring the user to learn query syntaxes (Sullivan, 2007, p. 1). An example of syntax is placing terms in quotations. Google, the most commonly used search engine of today, uses quotations to specify results that return exact matches to all the terms in the order they are listed in quotations. Google includes ten other operators used to better define a query and home in on the target results (Google Cheat Sheet, 2007, p. 1).
Ranking becomes a search engine’s most distinguishing process, as this will determine what and how information is displayed to the user. A commonality all search engines share by nature is the organization of pages by relevancy starting first with most relevant and ending with least. The higher a page’s rank is, the higher the site’s probable relevance will be as perceived by the engine. Every search engine uses its own unique method of determining how pages rank in relation to one another, and these are called algorithms. An algorithm is a mathematical formula that will take into consideration dozens of factors that have positive and negative effects on page rank. Think of it as a set of rules that a judge uses to determine which girl wins in a beauty pageant. The winner will always showcase more than just beauty alone, but instead, indicate a deeper purpose like the reputation, talents, and even life intentions. The many factors involved in judging contestants in a beauty pageant are very much like the factors used to rank a webpage (Sisson, 2006, p. 12).
Brief History of the Search Engine
The earliest breeds of search engines were not actually search engines at all, but rather massive directories of content pages manually submitted by their authors. It was not until spiders and bots came to the scene that people
I am working as SEO (search engine Optimizer).We provide Search Engine Marketing (SEM) services including Sear…
Non-Japanese people may know Miyazawa Kenji best for his story “Night On The Galactic Railroad” which was made into an animated film. The beauty that he finds in the world is shown in both the film and the poem.
You can set it to use different search engines, can’t you?
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