The algorithm of search engines
Study: How info is found on the web, how search engine provide it and how webmasters promote their websites.
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. Some are 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 study of search engines and SEO reports the current knowledge of algorithms and the effect on the ranking in search results pages. Google, Bing, Yandex, Yahoo, DuckDuckGo have common rules and peculiarities.
This knowledge of the algorithms 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.
Note that this site in itself is designed according to my preferences and not on search engines. It is possible that the design does not comply with all the findings of this study.
Net surfer and search engine
How to find information on the Web
The various means including obviously search engines.
Technology and list.
The choice tends to be reduced for users who are more often directed by Google to content farms. But other perspectives are possible near the too invasive engine.
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.
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.
To evaluate the freshness of documents.
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.
Google tweaks its algorithm
A reporter visited the laboratory, excerpts from his article that shows.
- 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 and the algorithm
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.
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.
Make visitors and increase the PageRank which then improves the position in the results.
ideas to promote a Web site.
And make it popular.
The best mean to get backlinks.
- How to get backlinks
Summary of different ways to get links to its site or blog.
20 myths about Google and SEO.
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.
Terms used by the pro.