List of Machine Learning Algorithms Used To Train The Google Search Engine

Source: Artificial Intelligence on Medium

List of Machine Learning Algorithms Used To Train The Google Search Engine

In Brief

1. You will find the best dissertation research areas/topics for future researchers enrolled in Computer science & Engineering.

2. In order to identify future research topics, we have reviewed the machine learning algorithm. (recent peer-reviewed studies).

3. First, this article gives you an idea of how technology can change our lifestyle.

4. Then, this article provides you latest updates on Google algorithm.

When we first heard about artificial intelligence (AI) and machine learning (ML) techniques, it was quite fascinating and scary. But once we got it figured out, we understood how technology can change our lifestyle (Shobha & Rangaswamy, 2018). Machine learning is slightly similar to artificial intelligence, but the differences begin to get a little confusing as we implement them. Machine learning is a program developed for problem-solving and it uses mathematical functions to generate a solution (Laskey & Levitt, 2001). Based on the data provided, the machine learning algorithm will achieve that task, with very little or no additional instructions.

Artificial intelligence, on the other hand, is the science, underlying the development of systems which either have or tend to have, human-like knowledge and similarly interpret information. We began to ask practical questions like how ML is used in a search engine and what kind of ML is used by Google, etc. Students can also assist with dissertation writing help on the machine learning algorithm. Here the list of machine learning algorithms used by Google search engine.

You will find the best dissertation for future researchers enrolled in Engineering & Technology. These topics are researched in-depth at the University of Glasgow, UK, Sun Yat-sen University, University of St Andrews and many more.

Google’s Machine learning algorithms and their updates
Google’s algorithms are a complicated group of frameworks used for obtaining data from its search index and providing the most exceptional possible outcomes for a question instantly.

Using a mixture of algorithms and multiple ranking signals, the search engine delivers web pages ranked by significance on its search engine results pages (SERPs).

In its earlier years, Google has made only a few changes to its algorithms. Today, Google uses thousands of updates and modifications every year. Some of those improvements are so minor they go completely unnoticed. The search engine often carries out major algorithmic changes regularly that have a huge effect on SERPs. Also, gets assignment writing help on artificial intelligence and google algorithm in high quality.

We have collected a list of Google’s launches, upgrades, and refreshments algorithms that have been rolling out over the years, List is as follows,

1. Panda

2. Penguin

3. Pirate

4. Exact match domain (EMD)

5. Hummingbird

6. Pigeon

7. Mobile-Friendly Update

8. Rank Brain

9. Possum

10. Fred

Google Panda is a machine learning algorithm utilized to allocate a content quality score to website pages as well as down-rank the websites with thin content, spammy or low-quality. In short, The Google Panda Update is a search filter that prevents websites with poor content from accessing top search results from Google. Yup, the Panda is excited about new content. The term panda derives from Navaneet panda, a developer from Google who developed this app and was launched on February 24, 2011.

Penguin updates launched in Apr 24, 2012, and this updates deal with the quality of the links. The objective of the penguin updates is to find down-rank websites with abnormal connection profiles, which spam the search outcomes by utilising manipulative link strategies. In short, the penguin was designed to address a serious flaw in the Google architecture that allowed a large number of low-quality links and keyword over-optimization of pages to trickle their algorithm.

Google’s Pirate Update was designed to prevent websites that have received multiple copyright infringement allegations from being well ranked in Google searches. The large percentage of websites that have been affected are fairly large and well-known sites that made illegal content such as books, music or movies available to users free of charge, especially torrent websites. The Google pirates update launched in Aug 2012.

Exact match domain (EMD)
In Sep 2012, Google released an upgrade to the EMD. Exact Match Domains changes are a new filter designed to avoid some websites of low quality. These websites are allocated to avoid coming on the first search page. Damaged websites, even less anticipated from good mark identity and high-quality content. Following the update to EMD, top-ranked poor quality is completely removed.

Google Hummingbird is a big algorithm shift which involves interpreting search results especially longer, verbal searches as well as delivering search results which suit the purpose of the user, instead of specific parameters within the request. Hummingbird offers clarification of the intent and contextual meaning of words used in a query. Hummingbird’s word derives from being “exact and quick.” It has been launched in Aug 22, 2013.

The Pigeon Update offers more specific search results for users who are looking for local responses to their questions. The update is intended to improve the local listing rankings in an exploration. This update yields results depending on the location of the user as well as listing the accessibility in the local database. The Pigeon update launched in July 24, 2014.

Mobile-Friendly Update
The mobile-friendly update launched in Apr 21, 2015. Mobilegeddon is the title offered by the web developers and webmasters. Google’s Mobile-Friendly Update is intended to give more considerable significance to sites that exhibit well on smartphones and other portable devices. The algorithm will display mobile-friendly sites with a higher priority if accessed from a mobile phone.

Rank Brain
Rank Brain is a machine learning software for artificial intelligence (AI), which helps Google to better grasp the meaning behind the questions and offer the best possible search results to users. Therefore, ranking websites helps. Google also claimed that the ranking algorithm for Rank Brain is the third most important item in Google updates. Rank Brain is launched in Oct 26, 2015.

The possum update is launched in Sep 1, 2016. Possum is an upgrade to Google’s local search ranking algorithm, which determines which companies can show up in local search results, often keeping business listings out of search results. Google has modified the possum algorithm to represent Google Local Search results. Business websites with identical addresses having a virtual address, where specific businesses are screened to avoid duplicates from the top Google search results.

Google Fred was a sequence of updates which took place in March 2017. Google Fred has had an important influence on Google’s global website rankings. It’s an upgrade to a black-hat strategy targeting algorithms. It assigns loads of monetized content to websites with black hat techniques lower rank.