SEO Blog - Asia SEO Blog

With all the talk about search engines and relevancy, I came up with some interesting thoughts that I wanted share about where I believe the search engines are heading concerning basic Search Engine Optimization (SEO).

Trying to stay ahead of the search engines, which is nearly impossible, I’ve been trying to look to the future of SEO while creating web pages following the guidelines of the major search engines.

One of the largest problems the major search engines are dealing with is Search Engine Spam, Adsense Spam, and “Spammy Pages” such as keyword stuffing to gain higher rankings.  In guidelines from Google, they mention write your pages for the users, not for the search engines.  This statement alone, is a little prediction of the future of what is coming.  And in order to stay ahead of the curve with some long term planning, I am suggesting we should take this to heart, and stop using the older SEO methods that eventually will hurt us.

Websites are being currently being penalized and dropped from years of top rankings for not adapting to the search engines guidelines and continuing to use SEO methods of years ago.

In thinking in terms of long-term success to maintain high rankings for each of the major search engines, through about as much research as you do online, I have came up with a few guidelines to the basic SEO ideas for the future.

One of the most important aspect for the search engines, and what I have seen and predict will have more importance is website copywriting.  We’ll this is nothing new, we all know website copywriting is important, may as high at 45% of our copywriting contributes to our page rank.  This will always remain important, and I believe will become even more important to high as 85% of what our website says will contribute to our page ranking in the future, as a shift from the search engine giving higher ranking from a technical aspect to more of a informational or relevancy aspect.

Eliminating some of the currently used technical aspects may maintain higher ranking in the coming future.  Let me explain some of the commonly abused technical SEO habits currently, that I believe is headed toward extinction.

a.  Keyword Meta tags.  This tag alone is open to elimination due to the common abuse methods such as keyword stuffing.  Most major search engines generally ignore this tagline currently.

b.  ALT tags are another tagline that is just in the beginning stages of being eliminated.  Some search engines have been experimenting with ignoring ALT tags and have found out that pages indexed without ALT tags are returning higher relevancy results.  Again like the Meta tags, ALT tags have been abused to such from as keyword stuff.

c.  The two Meta tags that will gain in importance will be the Title tag and Description tag.  A title and description taglines accurately representing a well written website copy write will enhance your page’s relevancy. I am not suggesting that today that we immediately stop using the successful technical SEO currently in place, but the gradual elimination of this technique as the search engines stop using each method.  Personally, I no longer include the Keyword Meta taglines on my web pages, and will continue to remove useless html as that become irrelevant. In summary, my opinion is that future SEO standards will be more focused on good copywriting and less on technical aspects such as Meta taglines, Alt taglines, Headings to gain a higher page rank, or should I say higher relevancy.

SAN FRANCISCO — Google researchers say they have a software technology intended to do for digital images on the Web what the company’s original PageRank software did for searches of Web pages.

Blogrunner: Reactions From Around the WebOn Thursday at the International World Wide Web Conference in Beijing, two Google scientists presented a paper describing what the researchers call VisualRank, an algorithm for blending image-recognition software methods with techniques for weighting and ranking images that look most similar.

Although image search has become popular on commercial search engines, results are usually generated today by using cues from the text that is associated with each image.

Despite decades of effort, image analysis remains a largely unsolved problem in computer science, the researchers said. For example, while progress has been made in automatic face detection in images, finding other objects such as mountains or tea pots, which are instantly recognizable to humans, has lagged.

“We wanted to incorporate all of the stuff that is happening in computer vision and put it in a Web framework,” said Shumeet Baluja, a senior staff researcher at Google, who made the presentation with Yushi Jing, another Google researcher. The company’s expertise in creating vast graphs that weigh “nodes,” or Web pages, based on their “authority” can be applied to images that are the most representative of a particular query, he said.

The research paper, “PageRank for Product Image Search,” is focused on a subset of the images that the giant search engine has cataloged because of the tremendous computing costs required to analyze and compare digital images. To do this for all of the images indexed by the search engine would be impractical, the researchers said. Google does not disclose how many images it has cataloged, but it asserts that its Google Image Search is the “most comprehensive image search on the Web.”

The company said that in its research it had concentrated on the 2000 most popular product queries on Google’s product search, words such as iPod, Xbox and Zune. It then sorted the top 10 images both from its ranking system and the standard Google Image Search results. With a team of 150 Google employees, it created a scoring system for image “relevance.” The researchers said the retrieval returned 83 percent less irrelevant images.

Google is not the first into the visual product search category. Riya, a Silicon Valley start-up, introduced Like.com in 2006. The service, which refers users to shopping sites, makes it possible for a Web shopper to select a particular visual attribute, such as a certain style of brown shoes or a style of buckle, and then be presented with similar products available from competing Web merchants.

Rather than relying on a text query, the service focuses on the ability to match shapes or objects that might be hard to describe in writing, said Munjal Shah, the chief executive of Riya.

“I think what they’re trying to accomplish is largely impossible,” he said. “Our belief is, there is not large-scale solutions.”

Mr. Shah said there had been a number of technology demonstrations by Google Labs researchers, such as a project in 2005 that used machine learning techniques to recognize the gender of a person in an image. However, the company has been slow to deploy its research, he said.

Author: JOHN MARKOFF

There is none out there who can describe the sophesticated page rank technology owns by Google than Google itself . the below is inormation by Google regarding the page rank .

Technology Overview

We stand alone in our focus on developing the “perfect search engine,” defined by co-founder Larry Page as something that, “understands exactly what you mean and gives you back exactly what you want.” To that end, we have persistently pursued innovation and refused to accept the limitations of existing models. As a result, we developed our serving infrastructure and breakthrough PageRank™ technology that changed the way searches are conducted.

From the beginning, our developers recognized that providing the fastest, most accurate results required a new kind of server setup. Whereas most search engines ran off a handful of large servers that often slowed under peak loads, ours employed linked PCs to quickly find each query’s answer. The innovation paid off in faster response times, greater scalability and lower costs. It’s an idea that others have since copied, while we have continued to refine our back-end technology to make it even more efficient.

The software behind our search technology conducts a series of simultaneous calculations requiring only a fraction of a second. Traditional search engines rely heavily on how often a word appears on a web page. We use more than 200 signals, including our patented PageRank™ algorithm, to examine the entire link structure of the web and determine which pages are most important. We then conduct hypertext-matching analysis to determine which pages are relevant to the specific search being conducted. By combining overall importance and query-specific relevance, we’re able to put the most relevant and reliable results first.

• PageRank Technology: PageRank reflects our view of the importance of web pages by considering more than 500 million variables and 2 billion terms. Pages that we believe are important pages receive a higher PageRank and are more likely to appear at the top of the search results.
• Hypertext-Matching Analysis: Our search engine also analyzes page content. However, instead of simply scanning for page-based text (which can be manipulated by site publishers through meta-tags), our technology analyzes the full content of a page and factors in fonts, subdivisions and the precise location of each word. We also analyze the content of neighboring web pages to ensure the results returned are the most relevant to a user’s query.



 resultsPageRank also considers the importance of each page that casts a vote, as votes from some pages are considered to have greater value, thus giving the linked page greater value. We have always taken a pragmatic approach to help improve search quality and create useful products, and our technology uses the collective intelligence of the web to determine a page’s importance.

Our innovations don’t stop at the desktop. To give people access to the information they need, whenever and wherever they need it, we continue to develop new mobile applications and services that are more accessible and customizable. And we’re partnering with industry-leading carriers and device manufacturers to deliver these innovative services globally. We’re working with many of these industry leaders through the Open Handset Alliance to develop Android, the first complete, open, and free mobile platform, which will offer people a less expensive and better mobile experience.