The algorithm of search engines
Despite the huge sums invested in search engines, and their ubiquitous in front of Internet users, their algorithm is still something primitive which is based on keywords and various signals. It is considering moving to a semantic search, ie a better understanding of the content of sites to associate it to queries in context. Could this work? To what extent can we understand what the user wants without a deep intrusion into his private life?
This file of search engines and SEO reports the current knowledge of algorithms and the effect on the ranking in search results pages. Google, Bing and Yahoo (or DuckDuckGo) have common rules and peculiarities.
This knowledge of the algorithm is essential for the visibility of a site. Google evaluates them on the basis of statistics. If a site, perfectly interesting and useful, can be described by criteria generally attributed to spam sites, it will be penalized.
The algorithm of search engines
Foundation of search engine algorithms
Based on the safest sources, it is necessary to clarify some
points on how the results are determined by search engines for avoiding misconceptions.
- Positive and negative criteria of the algorithm
Each aspect of the site and page design contribute to its ranking. Criteria are called "signals" by Google. An example of signal is the domain name. If a site has the penguin.gl domain, it will be well ranked on the penguin term with the same content.
How
is built the score of Web pages for search engines results
From a patent from Google about techniques for calculating search results,
it showsand why
a website goes to sandbox. Google attribute to each page a score to rank in the list of results that
are relevant to a search. The PageRank is only a part of scores of pages.
- FreshRank.
To evaluate the freshness of documents. - LDA.
A secret of Google's algorithm being revealed. - Bounce factor.
Does it influence results on search engine? And most importantly how to improve it, and bring down the bounce factor. - How
Google tweaks its algorithm
A reporter visited the laboratory, excerpts from his article that shows.
Understanding the Panda algorithm.
Evolution of the Google's algorithm since the origin
What we should know about PageRank
- PageRank and nofollow.
- The true value of a backlink
It depends on many factors, as detailed in a patent from Google.
- The browserank
It is an alternative from Microsoft to the PageRank.
The webmaster
How to find information on the Web
This is essential to the webmaster for what he has to do to improve the visibility of its pages on the web.
Avoid black hat techniques (Alexa graph)
First steps in website optimization
Manual for optimizing pages, promoting a site. Advices from Matt Cutts to optimize a site for Google.
- SEO of e-commerce
It is more difficult and requires more technical than sites with just textual content.
20 mistakes to avoid for seach engines
For the content of the site
to be properly indexed and pages well positioned.
12 rules to optimize a site to get more visitors.
- How
to reach the top position for a keyword on Google, Bing, Yahoo!
Based on knowledge of search engines.
Improving the PageRank
The
score of a Web page depends less on the number of backlinks than on PageRank of pages that contain
these links.
Backlinks
Make visitors and increase the PageRank which then improves
the position in the results.
10
ideas to promote a Web site.
And make it popular.
Link
bait.
The best mean to get backlinks.
- How to get backlinks
Summary of different ways to get links to its site or blog.
References
20 myths about Google and SEO.
By Google.
Google SEO Report Card, a summary.
Answers
from Google to webmasters
Lot of questions from webmasters, the team at Google Webmaster Central answered all of them.
SEO and pageRank big FAQ
Questions about optimization for search engines.
- Glossary
Terms used by the pro.