chml srucnoc

Webmasters and content providers began optimizing sites for search engines in the mid-1990s, as the first search engines were cataloging the early Web. Initially, all a webmaster needed to do was submit a site to the various engines which would run spiders, programs to “crawl” the site, and store the collected data. The default search-bracket was to scan an entire webpage for so-called related search words, so a page with many different words matched more searches, and a webpage containing a dictionary-type listing would match almost all searches, limited only by unique names. The search engines then sorted the information by topic, and served results based on pages they had crawled. As the number of documents online kept growing, and more webmasters realized the value of organic search listings, some popular search engines began to sort their listings so they could display the most relevant pages first. This was the start of a friction between search engine and webmasters that continues to this day.

At first search engines were guided by the webmasters themselves. Early versions of search algorithms relied on webmaster-provided information such as category and keyword meta tags, or index files in engines like ALIWEB. Meta-tags provided a guide to each page’s content. When some webmasters began to abuse meta tags, causing their pages to rank for irrelevant searches, search engines abandoned their consideration of meta tags and instead developed more complex ranking algorithms, taking into account factors that elevated a limited number of words (anti-dictionary) and were more diverse, including:

* Text within the title tag
* Domain name
* URL directories and file names
* HTML tags: headings, emphasized (<em>) and strongly emphasized (<strong>) text
* Term frequency, both in the document and globally, often misunderstood and mistakenly referred to as Keyword density
* Keyword proximity
* Keyword adjacency
* Keyword sequence
* Alt attributes for images
* Text within NOFRAMES tags
* Content development

Pringle, et al. (Pringle et al., 1998) [3], also defined a number of attributes within the HTML source of a page which were often manipulated by web content providers attempting to rank well in search engines. But by relying so extensively on factors that were still within the webmasters’ exclusive control, search engines continued to suffer from abuse and ranking manipulation. In order to provide better results to their users, search engines had to adapt to ensure their SERPs showed the most relevant search results, rather than useless pages stuffed with numerous keywords by unscrupulous webmasters using a bait-and-switch lure to display unrelated webpages. This led to the rise of a new kind of search engine.

All these contests appear to be based on a number of common factors:

* In simple words, a SEO contest invites webmasters to trick the search engines. Some webmasters resort to spam, while others use white-hat optimization techniques (like providing good content covering the competition, or optimizing page titles).
* While there are many search engines around, they all seem to focus on Google in particular. Google is known to be a difficult search engine to rank well on, especially for new web sites.
* Most SEO contests expect people to optimize a single web page for a non-existent phrase of two silly words. The main reason for this is to keep existing web sites from getting a head start. But at the same time it makes sure that regular internet searchers won’t be bombarded with “spammy” results when searching the web for “regular” information.
* Blogs seem to do well at these challenges, indicating in a way that pages with valuable content are preferred by search engines over regular websites, especially when it comes to newsworthy and fresh information of a temporary nature.