| Archive for Free Pony Theory MP3 blogs forums (MdM, BF, and friends) |
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Search Engine optimizationApparently (or not), Google has determined that historical data associated with each site is an essential ingredient in developing the highest quality search results for users who query. And just what kind of historical data are we talking about here? Well, things like:* the site's inception date (more likely the date the Search Engine noticed you) * how frequently documents are added and removed from the site * how often sites change over time * number of visitors over time * number of repeat visitors * number of times your site is bookmarked * how often keyword density is changed * the rate at which the site's anchor text is revised * inbound/outbound links - how long in place and high trust (quality) links http://www.linkadage.com/linkadage-info/google_patent.htm |
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fairly long but usefull checklist
http://www.vaughns-1-pagers.com/internet/google-ranking-factors.htm Keyword in URL Keyword in domain name Keyword in title tag Keyword in H1, H2 and H3 |
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http://www.google.com/support/webmasters/bin/answer.py?answer=35769
# Create a useful, information-rich site, and write pages that clearly and accurately describe your content. # Think about the words users would type to find your pages, and make sure that your site actually includes those words within it. # Try to use text instead of images to display important names, content, or links. The Google crawler doesn't recognize text contained in images. # Make sure that your TITLE and ALT tags are descriptive and accurate. # Check for broken links and correct HTML. # If you decide to use dynamic pages (i.e., the URL contains a "?" character), be aware that not every search engine spider crawls dynamic pages as well as static pages. It helps to keep the parameters short and the number of them few. # Keep the links on a given page to a reasonable number (fewer than 100). |
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Link dump.
most says the same things. but if you are obsessing. ... http://www.copyblogger.com/increase-web-traffic/ |
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Below are some articles targetted for blog SEO. (most are Gibberish BS. I'll summarize after I collect articles.)
http://www.isedb.com/db/articles/1395/ 1. Make sure there are no road blocks in the path of a search engine crawler. 2. Make sure the crawler can move through your blog, examining all your web pages. 3. Provide adequate keywords and key phrases which clearly help categorize your content. 4. Provide clearly labeled tags and categories recognized by tagging service crawlers and many search engines today. 5. Take advantage of pinging services.” more http://www.textlinkbrokers.com/blogs/more/232_0_1_0_M/ http://www.blog-maniac.com/blog-seo.htm |
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This probably is still the best advice
http://codex.wordpress.org/Search_Engine_Optimization_for_Wordpress http://lorelle.wordpress.com/2006...5/dyi-search-engine-optimization/ http://www.dech.co.uk/2005/11/ultimate-WordPress-seo-tips/ |
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This is a variant of the eigenvector centrality measure used commonly in network analysis.
The values of the PageRank eigenvector are fast to approximate (only a few iterations are needed) and in practice it gives good results. As a result of Markov theory, it can be shown that the PageRank of a page is the probability of being at that page after lots of clicks. This happens to equal t − 1 where t is the expectation of the number of clicks (or random jumps) required to get from the page back to itself. The main disadvantage is that it favors older pages, because a new page, even a very good one, will not have many links unless it is part of an existing site (a site being a densely connected set of pages, such as Wikipedia). The Google Directory (itself a derivative of the Open Directory Project) allows users to see results sorted by PageRank within categories. The Google Directory is the only service offered by Google where PageRank directly determines display order. In Google's other search services (such as its primary Web search) PageRank is used to weight the relevance scores of pages shown in search results. Several strategies have been proposed to accelerate the computation of PageRank.[5] Various strategies to manipulate PageRank have been employed in concerted efforts to improve search results rankings and monetize advertising links. These strategies have severely impacted the reliability of the PageRank concept, which seeks to determine which documents are actually highly valued by the Web community. Google is known to actively penalize link farms and other schemes designed to artificially inflate PageRank. How Google identifies link farms and other PageRank manipulation tools are among Google's trade secrets. http://en.wikipedia.org/wiki/PageRank |
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Google Ranking Factor Checklist
1. Positive ON-Page SEO Factors. 2. Negative ON-Page SEO Factors. 3. Positive OFF-Page SEO Factors. 4. Negative OFF-Page SEO Factors. http://www.vaughns-1-pagers.com/internet/google-ranking-factors.htm 1 Keyword in URL First word is best, second is second best, etc. HOT 2 Keyword in Domain name Same as in page-name-with-hyphens Keywords - Header HOT 3 Keyword in Title tag Keyword in Title tag - close to beginning Title tag 10 - 60 characters, no special characters. - 4 Keyword in Description meta tag Shows theme - less than 200 chars. Google no longer "relies" upon this tag, but will often use it. - 5 Keyword in Keyword metatag Shows theme - less than 10 words. Every word in this tag MUST appear somewhere in the body text. If not, it can be penalized for irrelevance. No single word should appear more than twice. If not, it may be considered spam. Google purportedly no longer uses this tag, but others do. |
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Another team in our group is responsible for evaluating how well we're doing. This is done in many different ways, but the goal is always the same: improve the user experience. This is not the main goal, it is the only goal. There are automated evaluations every minute (to make sure nothing goes wrong), periodic evaluations of our overall quality, and, most importantly, evaluations of specific algorithmic improvements. When an engineer gets a new idea and develops a new algorithm, we test their ideas thoroughly. We have a team of statisticians who look at all the data and determine the value of the new idea. We meet weekly (sometimes twice a week) to go over those new ideas and approve new launches. In 2007, we launched more than 450 new improvements, about 9 per week on the average. Some of these improvements are simple and obvious -- for example, we fixed the way Hebrew acronym queries are handled (in Hebrew an acronym is denoted by a (") next to the last character, so IBM will be IB"M), and some are very complicated -- for example, we made significant changes to the PageRank algorithm in January. Most of the time we look for improvements in relevancy, but we also work on projects where the sole purpose is to simplify the algorithms. Simple is good.
International search has been one of our key focus areas in the past two years. This means all spoken languages, not just the major ones. Last year, for example, we made major improvements in Azerbaijani, a language spoken by about 8 million people. In the past few months, we launched spell checking in Estonian, Catalan, Serbian, Serbo-Croatian, Ukranian, Bosnian, Latvian, Filipino, Slovenian and Farsi. We organized a network of people all over the world who provide us with feedback, and we have a large set of volunteers from all parts of Google who speak different languages and help us improve search. http://googleblog.blogspot.com/20...ion-to-google-search-quality.html http://tech.slashdot.org/tech/08/05/24/1151255.shtml |
| steven7 |
search engine optimizationHi,This is Steven. I like this site very much. And i will give the information about the search engine optimization. Any information that please visit this site. ============= steven7 visit search engine optimization |