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Google Panda


Google Panda

Google Panda is a change to the Google's search results ranking algorithm /as on February 2011.Google's Panda has received several updates since the original rollout in February 2011, and the effect went global in April 2011.

Google's new Panda machine-learning algorithm is named after engineer Navneet Panda. Basic goal was to look for similarities between websites people found to be high quality and low quality.


Major Objective: The change aimed to lower the rank of "low-quality sites", and return higher-quality sites near the top of the search results.

The Panda process

Google Panda was built through an algorithm update that used artificial intelligence. Human quality testers rated thousands of websites based on measures of quality, including design, trustworthiness, speed and whether or not they would return to the website. Google has introduced many new ranking factors and some of the older ranking factors like PageRank have been downgraded in importance.

Google Panda is updated from time to time and the algorithm is run by Google on a regular basis.On April 24, 2012 the 'Penguin' update was released, which affected a further 3.1% of all English language search queries, highlighting the ongoing volatility of search rankings.

How Panda different from other algorithms?

Google Panda impacts an entire site's ranking or specific section rather than just the individual pages on a site. In addition to other changes, Panda seems to focus on the date of a web page.

Some experts think this has adversely impacted sites with lots of "evergreen content". Because evergreen content usually has an older publication date, Panda seems to reduce its visibility in search results. For searchers looking for in-depth information, many of these evergreen posts are great sources of knowledge on a topic.

Source:http://en.wikipedia.org/wiki/Google_Panda
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