Beijing time on April 12th, according to foreign media reports, Google stated on April 11th that it had begun to deploy the "Farmer" algorithm ("Farmer") globally to eliminate websites with inferior content. This move will give SEO (search results) Engine optimization) industry and small and medium-sized websites have had an impact.
The "Farmer Algorithm", as the name suggests, aims to "eradicate" inferior websites whose content does not meet the requirements but often obtain top rankings based on SEO through further optimization of the ranking algorithm. A month ago, this algorithm began to be deployed on Google's US website, and starting from this Monday, it will be deployed to global search services. By then, search users around the world will discover the impact of the "Farmer Algorithm" on result rankings.
Judging from the one-month performance in the United States, the rankings of some professional publishing websites have improved, but some low-quality websites have been greatly affected. For example, the "Mahalo" website has been affected and even announced layoffs.
The Google team stated in a blog post that the new algorithm will be deployed in the search service for English web pages, and Google has begun to absorb user feedback in order to provide more ideal search results. In some areas, Google has even begun to take into account users’ “website blocking” feedback.
Google said that the optimized "Farmer Algorithm" also takes into account the "long tail effect" of the website, that is, some small and medium-sized websites may not seem to have high overall quality, but they can also provide useful results in the long term. This factor has not been achieved before. consider.
Google said that after absorbing user opinions and gradually improving it, the impact of the "Farmer Algorithm" on search rankings has been reduced. Previously, 12% of keyword searches in the United States were affected, but the current impact has been reduced to 2%.
Google's summary of the "Farmer Algorithm" is that it "will reach an accurate level in detecting website quality."
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