Google Algorithm Update

Google Algorithm Update

Google Algorithm

Google's algorithm is simply defined as retrieving data from its search index and finding the most relevant pages for a particular search query.

 

Google Algorithm Update

Google's algorithm update was brought about to make a change in Google's search engine. 
Significant changes include:

• to improve the quality

• Relevancy

• user's experience in search results

The latest Google algorithm update, known as the "core algorithm update," was launched on September 12, 2022.

 

Google Algorithm Updates

Some of the major algorithm updates are shown below. They are:

1. Google Panda update
2. Google Penguin update
3. Hummingbird update
4. Mobilegeddon 
5. BERT

Google Panda Update (2011)

The Google Panda Update is an update against content spamming. and also used to lower the rank of "low-quality sites."

 

Content spamming in the Google Panda Update is simply defined as the unwanted and unauthorized use of content in connection with other content. 

 

Some of the spam's contents are as follows:

• Thin pages 

• Keyword stuffing

• Content spinning

• Automated content

• Numerous guest bloggers

Google Penguin Update (2012)

The Google Penguin update is one of the updates that are against link spamming. This update manipulates search results through black-hat SEO techniques. 

Link spamming in the Penguin update is defined as the practice of posting as many links out of context as possible on websites, blog comments, or any place online that shows user comments.

Hummingbird Update (2013)

The Hummingbird update mainly focuses on making Google's algorithm more precise and fast. This update shows more of an interactive way. This update also includes voice search. And it also gives real-time results. The goal of Hummingbird wasn't to punish sites. 

Mobilegeddon (2015)

Mobilegeddon, aka the mobile-friendly update, mainly focuses on the impact of searches on mobile devices and mobile rankings. The main goal of this update is to make users friendly and to impress them in the following ways: They are:-

• Vertical scrolling.

• Interactive response.

• The text should be readable with no tapping or zooming.

• Tap targets should be proper.

BERT (2018)

BERT, aka "bidirectional encoder representations from transformers," is a machine learning technique for natural language processing pre-trained by Google. BERT represents contents in a natural way. It is a technique that is used to interpret the user's intentions. It shows the most search results. BERT was created and published by Jacob Devlin. BERT is a core transformer language model. It was mainly focused on two tasks, which are language modeling and next-sentence prediction. 

Conclusion

Major Google algorithm updates are discussed in this post. The major updates named Google Panda, Google Penguin, Hummingbird, Mobilegeddon, and BERT have been described as shown. Each update is different from the others. There are so many more updates in the Google algorithm update. According to Google's algorithm updates, there are a lot more to come.