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List of Machine Learning Algorithms Used to Train the Google Search

Engine?

Dr. Nancy Agens, Head,

Technical Operations, Tutors India

info@tutorsindia.com

In brief

You will find the best dissertation research

areas/topics for future researchers enrolled

in Computer science & Engineering. In

order to identify future research topics, we

have reviewed the machine learning

algorithm. (recent peer-reviewed studies).

First, this article gives you an idea about

how the technology can change our

lifestyle. Then, this article provides you

latest updates on google algorithm.

Keywords: Machine learning algorithm,

Google Algorithm, Microsoft algorithm,

Rank Brain and RankNet.

I. INTRODUCTION

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 the 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 search

engine and what kind of ML is used my

Google,,etc. Students can also assistance

with dissertation writing help on machine

learning algorithm. Here the list of machine

learning algorithms used by Google search

engine.

II. GOOGLE’S MACHINE LEARNING

ALGORITHMS AND THEIR UPDATES

Google's algorithms are 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).

Google did just a couple of enhancements to

its algorithms in its earlier years. Today,

every year Google uses thousands of

modifications and upgrades. Some of these

changes are so small they go unnoticed

altogether. Sometimes, the search engine

periodically rolls out significant algorithmic

updates which have a huge effect on SERPs.

Also, get assignment writing help on

artificial intelligence and google algorithm

in a 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

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4. Exact match domain (EMD)

5. Hummingbird

6. Pigeon

7. Mobile-Friendly Update

8. RankBrain

9. Possum

10. Fred

III. PANDA

Google Panda is a machine learning

algorithm utilised to allocate a content

quality score to website pages as well as

down-rank the websites with thin content,

spammy or low-quality. In brief, The

Google's Panda Update is a search filter that

stop websites with poor content from

accessing Google's top search results. Yup,

Panda has a passion for new content. The

word panda derives from Navaneet panda, a

Google developer who created this software

and it was launched in February 24, 2011.

IV. PENGUIN

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 brief, the penguin was

designed to address a severe flaw in

Google's framework that allowed a large

number of low-quality links and keyword

over-optimization of pages to ' trickle ' their

algorithm.

V. PIRATE

Google's Pirate Update was designed

to avoid the websites which have received

multiple allegations of copyright violation

from being well ranked in Google searches.

The large percentage of impacted websites

are fairly large and well-known sites which

rendered illegal content like books, music or

movies available free of charge to users,

especially torrent websites. The Google

pirate update launchd in Aug 2012.

VI. EXACT MATCH DOMAIN (EMD)

Google launched the EMD update in

Sep 2012. Exact Match Domains updates are

a new filter, designed to avoid certain low-

quality websites . Such websites are

assigned lower ranking to avoid coming on

the first page of the search. Damaged

websites, even from good brand identity and

elevated quality content are less anticipated.

After the EMD update, top ranked poor

quality wesites are totally removed.

VII. HUMMINGBIRD

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 gives understanding of the

intention and contextual significance of

terms utilized in a query. The word

Hummingbird derives for being "accurate

and speed". It has been lanuuched in Aug

22,2013

VIII. PIGEON

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 lanuached in July 24,2014.

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IX. MOBILE-FRIENDLY UPDATE

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 sites which

exhibit well on smartphones as well as other

portable devices more considerable

significance. When accessed from a mobile,

the algorithm will display mobile friendly

sites with a higher priority.

X. RANKBRAIN

RankBrain is an airtificial

intelligence (AI) machine learning program

that lets Google fully grasp the significance

behind the questions and offer users with the

best possible search results. In addition, it

helps in rating web sites. Google also stated

that the RankBrain ranking algorithm is the

third most significant element in Google

updates.. RankBrain is launched in Oct

26,2015.

XI. POSSUM

The possum update is launched in

Sep 1,2016. Possum is an upgrade to

Google's local search ranking algorithm,

which determines which businesses can turn

up in local search results, often keeping

company listings out of search outcomes.For

the results of Google Local Search, Google

has updated the possum algorithm. Business

websites with identical addresses having a

virtual address, where specific business are

screened out of the top Google search results

to avoid duplicates. Possum update's

primary motivation is to broaden the local

results and severely end spammy activities.

XII. FRED

Google Fred was a sequence of

updates which took place in March 2017.

Google Fred has had a significant influence

on website rankings globally for Google. It

is an update to an algorithm aimed at black-

hat techniques. It assigns websites with lots

of monetized content and black hat

techniqieus a lower rank.

REFERENCES

[1] Han, J., Kamber, M., & Pei, J. (2012). Introduction. In

Data Mining (pp. 1–38). Elsevier.

https://doi.org/10.1016/B978-0-12-381479-1.00001-

0

[2] Laskey, K. B., & Levitt, T. S. (2001). Artificial

Intelligence: Uncertainty. In International

Encyclopedia of the Social & Behavioral Sciences

(pp. 799–805). Elsevier. https://doi.org/10.1016/B0-

08-043076-7/00395-8

[3] Shobha, G., & Rangaswamy, S. (2018). Machine

Learning. In Handbook of satistics 38 (pp. 197–228).

https://doi.org/10.1016/bs.host.2018.07.004