Google announced a campaign against paid links that transfer PageRank

[monira#$1244]

In 2005, Google began providing personalized search results for each user. Google creates search results for logged-in users based on the user's previous search history.

In 2007,
On June 15, 2009, Google disclosed that they had taken steps to mitigate the effects of PageRank shaping by using nofollow attributes on links. Matt Cutts, a well-known Google software engineer, announced that Google Bot would no longer treat any no follow links in the same way to prevent SEO service providers from using nofollow for PageRank shaping. As a result of this change, the use of nofollow caused PageRank to evaporate. To avoid the above situation, SEO engineers developed alternative techniques to replace the nofollow tag with obfuscated JavaScript, thereby allowing PageRank shaping. In addition, several solutions have been proposed, including the use of iframes, Flash, and JavaScript.

In December 2009, Google announced that it would use all users' web search histories to populate search results.

On June 8, 2010, Google announced a new web indexing system afghanistan whatsapp data called Google Caffeine. Designed to allow users to find news results, forum posts, and other content faster than before, Google Caffeine changes the way Google updates its index, making content appear on Google faster than before. According to Carrie Grimes, the software engineer who announced Google Caffeine, "Caffeine provides 50% more web search results than our previous index..."

Google Instant was launched in late 2010 with the goal of making search results more timely and relevant.

Historically, webmasters would spend months or even years optimizing their websites to improve search rankings. As social media sites and blogs grew in popularity, leading search engines made changes to their algorithms to enable fresh content to quickly rank in search results.

In February 2011, Google announced the Panda update, which penalized websites that contained content copied from other websites and sources. Historically, websites would copy each other’s content and improve their search engine rankings through this practice. However, Google implemented a new system that penalized websites whose content was not unique enough.

The 2012 Google Penguin algorithm attempted to penalize sites that used manipulative techniques to improve their search engine rankings. Although Google Penguin was described as an algorithm designed to combat web spam, its real focus was on spammy links, by measuring the quality of the sites from which the links came.

The 2013 Google Hummingbird update introduced an algorithm change designed to improve Google's natural language processing and semantic understanding of web pages. Hummingbird's language processing system fell into the newly recognized category of "conversational search," which paid more attention to each word in a query to better match pages to the meaning of the query, rather than focusing on just a few words. Regarding SEO changes, for content publishers and authors, Hummingbird was designed to solve problems by getting rid of irrelevant content and spam, allowing Google to produce high-quality content and rely on them as "trusted" authors.