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Author Topic: SEO science  (Read 22478 times)

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SEO

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SEO science
« on: January 19, 2011, 04:59:34 PM »
   About seo history, science and so on.  :)
« Last Edit: May 16, 2011, 02:20:31 PM by SEO »
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The beginning of the SEO
« Reply #1 on: January 21, 2011, 01:50:23 AM »
  The SEO's birthday. When it was "born" ?
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SEO's birthday
« Reply #2 on: January 23, 2011, 03:59:54 AM »
  Well, well, well...as far as I know the SEO's birthday is 1997. I'll post more about SEO's history soon.
 Viva SEO !  ;D
« Last Edit: January 24, 2011, 03:24:42 AM by Alexa »
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SEO's history and stuff
« Reply #3 on: January 23, 2011, 06:07:32 PM »
  As I promissed you, I'm going to post about SEO's stuff soon. Here we go-

 Search engine optimization (SEO) is the process of improving the visibility of a website or a web page in search engines via the "natural" or un-paid ("organic" or "algorithmic") search results. Other forms of search engine marketing (SEM) target paid listings. In general, the earlier (or higher on the page), and more frequently a site appears in the search results list, the more visitors it will receive from the search engine. SEO may target different kinds of search, including image search, local search, video search and industry-specific vertical search engines. This gives a website web presence.
 As an Internet marketing strategy, SEO considers how search engines work and what people search for. Optimizing a website may involve editing its content and HTML and associated coding to both increase its relevance to specific keywords and to remove barriers to the indexing activities of search engines. Promoting a site to increase the number of backlinks, or inbound links, is another SEO tactic.
 The acronym "SEO" can refer to "search engine optimizers," a term adopted by an industry of consultants who carry out optimization projects on behalf of clients, and by employees who perform SEO services in-house. Search engine optimizers may offer SEO as a stand-alone service or as a part of a broader marketing campaign. Because effective SEO may require changes to the HTML source code of a site and site content, SEO tactics may be incorporated into website development and design. The term "search engine friendly" may be used to describe website designs, menus, content management systems, images, videos, shopping carts, and other elements that have been optimized for the purpose of search engine exposure.
Another class of techniques, known as black hat SEO or spamdexing, uses methods such as link farms, keyword stuffing and article spinning that degrade both the relevance of search results and the user-experience of search engines. Search engines look for sites that employ these techniques in order to remove them from their indices.
 History
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 webmasters needed to do was submit the address of a page, or URL, to the various engines which would send a "spider" to "crawl" that page, extract links to other pages from it, and return information found on the page to be indexed. The process involves a search engine spider downloading a page and storing it on the search engine's own server, where a second program, known as an indexer, extracts various information about the page, such as the words it contains and where these are located, as well as any weight for specific words, and all links the page contains, which are then placed into a scheduler for crawling at a later date.

Site owners started to recognize the value of having their sites highly ranked and visible in search engine results, creating an opportunity for both white hat and black hat SEO practitioners. According to industry analyst Danny Sullivan, the phrase "search engine optimization" probably came into use in 1997. The first documented use of the term Search Engine Optimization was John Audette and his company Multimedia Marketing Group as documented by a web page from the MMG site from August, 1997 on the Internet Way Back machine (Document Number 19970801004204). The first registered USA Copyright of a website containing that phrase is by Bruce Clay effective March, 1997 (Document Registration Number TX0005001745, US Library of Congress Copyright Office).

Early versions of search algorithms relied on webmaster-provided information such as the keyword meta tag, or index files in engines like ALIWEB. Meta tags provide a guide to each page's content. Using meta data to index pages was found to be less than reliable, however, because the webmaster's choice of keywords in the meta tag could potentially be an inaccurate representation of the site's actual content. Inaccurate, incomplete, and inconsistent data in meta tags could and did cause pages to rank for irrelevant searches.Web content providers also manipulated a number of attributes within the HTML source of a page in an attempt to rank well in search engines.

By relying so much on factors such as keyword density which were exclusively within a webmaster's control, early search engines suffered from abuse and ranking manipulation. To provide better results to their users, search engines had to adapt to ensure their results pages showed the most relevant search results, rather than unrelated pages stuffed with numerous keywords by unscrupulous webmasters. Since the success and popularity of a search engine is determined by its ability to produce the most relevant results to any given search, allowing those results to be false would turn users to find other search sources. Search engines responded by developing more complex ranking algorithms, taking into account additional factors that were more difficult for webmasters to manipulate.

Graduate students at Stanford University, Larry Page and Sergey Brin, developed "backrub," a search engine that relied on a mathematical algorithm to rate the prominence of web pages. The number calculated by the algorithm, PageRank, is a function of the quantity and strength of inbound links. PageRank estimates the likelihood that a given page will be reached by a web user who randomly surfs the web, and follows links from one page to another. In effect, this means that some links are stronger than others, as a higher PageRank page is more likely to be reached by the random surfer.

Page and Brin founded Google in 1998. Google attracted a loyal following among the growing number of Internet users, who liked its simple design. Off-page factors (such as PageRank and hyperlink analysis) were considered as well as on-page factors (such as keyword frequency, meta tags, headings, links and site structure) to enable Google to avoid the kind of manipulation seen in search engines that only considered on-page factors for their rankings. Although PageRank was more difficult to game, webmasters had already developed link building tools and schemes to influence the Inktomi search engine, and these methods proved similarly applicable to gaming PageRank. Many sites focused on exchanging, buying, and selling links, often on a massive scale. Some of these schemes, or link farms, involved the creation of thousands of sites for the sole purpose of link spamming.

By 2004, search engines had incorporated a wide range of undisclosed factors in their ranking algorithms to reduce the impact of link manipulation. Google says it ranks sites using more than 200 different signals.The leading search engines, Google and Yahoo, do not disclose the algorithms they use to rank pages. Notable SEO service providers, such as Rand Fishkin, Barry Schwartz, Aaron Wall and Jill Whalen, have studied different approaches to search engine optimization, and have published their opinions in online forums and blogs. SEO practitioners may also study patents held by various search engines to gain insight into the algorithms.

In 2005 Google began personalizing search results for each user. Depending on their history of previous searches, Google crafted results for logged in users. In 2008, Bruce Clay said that "ranking is dead" because of personalized search. It would become meaningless to discuss how a website ranked, because its rank would potentially be different for each user and each search.

In 2007 Google announced a campaign against paid links that transfer PageRank. On June 15, 2009, Google disclosed that they had taken measures to mitigate the effects of PageRank sculpting by use of the nofollow attribute on links. Matt Cutts, a well-known software engineer at Google, announced that Google Bot would no longer treat nofollowed links in the same way, in order to prevent SEO service providers from using nofollow for PageRank sculpting. As a result of this change the usage of nofollow leads to evaporation of pagerank. In order to avoid the above, SEO engineers developed alternative techniques that replace nofollowed tags with obfuscated Javascript and thus permit PageRank sculpting. Additionally several solutions have been suggested that include the usage of iframes, Flash and Javascript.

In December 2009 Google announced it would be using the web search history of all its users in order to populate search results.

Real-time-search was introduced in late 2009 in an attempt to make search results more timely and relevant. Historically site administrators have spent months or even years optimizing a website to increase search rankings. With the growth in popularity of social media sites and blogs the leading engines made changes to their algorithms to allow fresh content to rank quickly within the search results.

http://en.wikipedia.org/wiki/Search_engine_optimization
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Relationship with search engines
« Reply #4 on: January 24, 2011, 12:23:30 AM »
     

  By 1997 search engines recognized that webmasters were making efforts to rank well in their search engines, and that some webmasters were even manipulating their rankings in search results by stuffing pages with excessive or irrelevant keywords. Early search engines, such as Infoseek, adjusted their algorithms in an effort to prevent webmasters from manipulating rankings.
 Due to the high marketing value of targeted search results, there is potential for an adversarial relationship between search engines and SEO service providers. In 2005, an annual conference, AIRWeb, Adversarial Information Retrieval on the Web, was created to discuss and minimize the damaging effects of aggressive web content providers.
 Companies that employ overly aggressive techniques can get their client websites banned from the search results. In 2005, the Wall Street Journal reported on a company, Traffic Power, which allegedly used high-risk techniques and failed to disclose those risks to its clients. Wired magazine reported that the same company sued blogger and SEO Aaron Wall for writing about the ban.Google's Matt Cutts later confirmed that Google did in fact ban Traffic Power and some of its clients.
 Some search engines have also reached out to the SEO industry, and are frequent sponsors and guests at SEO conferences, chats, and seminars. In fact, with the advent of paid inclusion, some search engines now have a vested interest in the health of the optimization community. Major search engines provide information and guidelines to help with site optimization. Google has a Sitemaps program to help webmasters learn if Google is having any problems indexing their website and also provides data on Google traffic to the website. Google guidelines are a list of suggested practices Google has provided as guidance to webmasters. Yahoo! Site Explorer provides a way for webmasters to submit URLs, determine how many pages are in the Yahoo! index and view link information. Bing Toolbox provides a way from webmasters to submit a sitemap and web feeds, allowing users to determine the crawl rate, and how many pages have been indexed by their search engine.
http://en.wikipedia.org/wiki/Search_engine_optimization
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Thanks, SEO!
« Reply #5 on: January 24, 2011, 03:27:35 AM »
           Thanks,
 SEO! :) You posted a cool SEO info over here!  :D I'll put some cool info about Alexa in the Alexa's board now  :D
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You're welcome, Alexa!
« Reply #6 on: January 28, 2011, 05:46:41 AM »
  You're welcome, Alexa! SEO is always ready to help. ;D
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How do search engines select which websites to display first?
« Reply #7 on: January 28, 2011, 05:53:25 AM »
  May be, if you're reading about SEO, you often ask yourselves "How do search engines select which websites to display first?"
 That's the million-dollar question! Since search engines primary service is their search service, the quality of their results is perhaps their most valuable asset. Think about it - if they were to disclose their ranking algorithms,then the unscrupulous webmasters would invariably use the information to secure top positions for all sorts of keywords and in the end, this would diminish the quality of the results, and Google, Baidu, Yandex, Goso, Bing, etc. would lose their pre-eminence in the field of search. As a result the algorithm is a tightly held secret!

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FFA sites? What is a FFA website
« Reply #8 on: January 29, 2011, 12:58:07 AM »
 FFA website or FFA site means "Free For All website (site)". They are sites that allow people to submit a link to them. These links are free of cost and you don't need to link back to the page, as it's usually required in the link exchange programs.
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ola

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Re: SEO science
« Reply #9 on: January 29, 2011, 09:24:23 AM »
I wish i know all dis mehn.

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I wish, too
« Reply #10 on: January 30, 2011, 04:53:03 PM »
 Yes, I wish, too  8)
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A/B testing
« Reply #11 on: February 04, 2011, 01:58:41 AM »
   Hi, SEO masters!  ;) Do you know about A/B testing, split testing or bucket testing (it's one and the same)? As SEO masters you should know it, so let me introduce this A/B testing thing to you-

"A/B testing, split testing or bucket testing is a method of marketing testing by which a baseline control sample is compared to a variety of single-variable test samples in order to improve response rates. A classic direct mail tactic, this method has been recently adopted within the interactive space to test tactics such as banner ads, emails and landing pages.

Significant improvements can be seen through testing elements like copy text, layouts, images and colors. However, not all elements produce the same improvements, and by looking at the results from different tests, it is possible to identify those elements that consistently tend to produce the greatest improvements.

Employers of this A/B testing method will distribute multiple samples of a test, including the control, to see which single variable is most effective in increasing a response rate or other desired outcome. The test, in order to be effective, must reach an audience of a sufficient size that there is a reasonable chance of detecting a meaningful difference between the control and other tactics: see Statistical power.

This method is different to multivariate testing which applies statistical modeling which allows a tester to try multiple variables within the samples distributed.

Companies well-known for using A/B testing

Many companies use the designed experiment approach to making marketing decisions. It is an increasingly common practice as the tools and expertise grows in this area. There are many A/B testing case studies which show that the practice of testing is increasingly becoming popular with small and medium businesses as well.

While it is widely used behind the scenes to maximize profits, the practice occasionally makes it into the spotlight.

-Amazon.com pioneered its use within the web ecommerce space. Also stirred controversy by testing into optimal price-points.
-BBC.
-Google. One of their top designers, Douglas Bowman, left and spoke out against excessive use of the practice.
-Microsoft
-Playdom (Disney Interactive)
-Zynga
-ebay.com


A/B Testing Resources


There are a handful of free and paid tools that help make A/B testing available to everyone, though some are best suited for large corporations and organizations.

ABTests.com is a website where people upload and analyze A/B tests that they've run on their own sites.
Adobe Omniture - Test&Target allow clients to A/B and multivariable tests. The main difference is that managers are allowed to do tests based on customers' details(web analytics' metrics) to deliver the tests.
Google Website Optimizer (GWO) is a free tool by Google that allows webmaster to split traffic across two or more pages using Javascript commands. It is a recommended option of users who are just getting started with A/B testing.
Lazzia is a simple tool for A/B testing images. It doesn't require Javascript and can automatically show the winning image once a trial has finished.
LiveBall is a powerful testing tool created by ion interactive that allows marketers to A/B or multivariate test their web pages. It comes with the option to automatically redirect traffic to the winning page once it has reached statistical significance. With LiveBall there's no need to know code, and there's no need for an advanced degree in mathematics in order to test and optimize web pages.
Optimizely is designed for powerful yet fast and easy A/B testing. Marketing and sales users can create and run experiments without writing any code by using the WYSIWYG editor, while advanced technical users can customize and fine tune experiments with Javascript.
Performable, unlike GWO, allows you to create landing pages and do A/B testing without any code or IT help. They have a library of custom templates and an interface to allow you to make your own. They also create a "social profile" of your visitors using information from Facebook, LinkedIn, Twitter and several other networks.
Unbounce is a platform that lets you create new landing pages and perform A/B tests on them. The WYSIWYG editor includes a suite of marketing-focused templates, allowing you to publish pages without any HTML coding or help from IT personnel.
Visual Website Optimizer is a paid alternative to GWO with many advanced features (such as WYSIWYG editor, heatmap reports and tagless integration) that makes it suitable for business who want flexibility while create A/B and multivariate tests.
VITES is a platform that allows companies to test visitor conversion rates across different profiles using server-side techniques.
SumoOptimize is an A/B testing tool providing users an easy way to manage and monitor their tests through visual editor.


Other Terms Used

-A/B/N Testing: A/B testing with more than two alternatives ("N" cells)
-A/B/..Z Testing: Same as above
-A/B/A: Only two alternatives, but one is repeated. This enables a quick visual of when the test reaches significance.
-Multivariate Testing: A designed experiment where effects from two or more potential causal factors can be isolated from one another.
-Multivariant Testing: same as above."


Link - http://en.wikipedia.org/wiki/A/B_testing
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SERP | Search engine results page
« Reply #12 on: February 06, 2011, 02:54:36 AM »

Search engine results page

or

SERP


 It's time to show you one of the "magic"  ;D SEO words and its meaning. I mean SERP

 A search engine results page (SERP), is the listing of web pages returned by a search engine in response to a keyword query. The results normally include a list of web pages with titles, a link to the page, and a short description showing where the Keywords have matched content within the page. A SERP may refer to a single page of links returned, or to the set of all links returned for a search query.

Query caching
Actually some search engines cache SERPs for frequent searches and display the cached SERP instead of a live SERP to increase the performance of the search engine. The search engine updates the SERPs periodically to account for new pages, and possibly to modify the rankings of pages in the SERP.

SERP refreshing can take several days or weeks which can occasionally cause results to be inaccurate or out of date, and new sites and pages to be completely absent.


Different types of results

SERPs of major search engines like Google, Yahoo! and Bing may include different types of listings: contextual, algorithmic or organic search listings, as well as sponsored listings, images, maps, definitions, videos or suggested search refinements.

The major search engines visually differentiate specific content types, such as images, news, and blogs. Many content types have specialized SERP templates and visual enhancements on the main search result page.

Advertising (Sponsored listings)

SERPs may contain advertisements. This is how commercial search engines fund their operations. Common examples of these advertisements are displayed on the right hand side of the page as small classified style ads or directly above the main organic search results on the left.

How SERP entries are generated


Major search engines like Google, Yahoo! and Bing primarily use content contained within the Metadata tags of a web page to generate the content that makes up a search snippet.The title tag will be used as the title of the snippet while the most relevant or useful contents of the web page (description tag or page copy) will be used for the description. If the web page is not available, information about the page from dmoz may be used instead.

SERP tracking

Webmasters use Search engine optimization to increase their website's ranking on a specific keyword's SERP. As a result, webmasters often check SERP's to track their Search engine optimization progress. To speed up the tracking process, programmers created automated software to track multiple keywords for multiple websites.



 http://en.wikipedia.org/wiki/Search_engine_results_page
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SEO or Seo?
« Reply #13 on: February 08, 2011, 04:48:42 AM »
  Something about the right spelling of this word. I saw in some websites they're spelling Search Engine opimization as "Seo", but it's not right. The right one is "SEO". Remember:

1.SEO = Search Engine Optimization or Search Engine Optimizator.
2.Seo = a Korean name (like others Korean names as: Li, Pak /Park/, Kim, Cha, etc.)
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Re: SEO science
« Reply #14 on: February 17, 2011, 07:36:49 PM »
my wish too much all SEO.....

 

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