The document summarizes important Google search algorithm updates from 2013 to 2022. It discusses major updates like Hummingbird in 2013 which focused on semantic search, Rank Brain in 2015 which incorporated machine learning, BERT in 2019 which improved natural language processing, and upcoming MUM in 2023 which will understand multiple languages and tasks simultaneously. Other notable updates include Pigeon in 2014 and Mobile-Friendly in 2015 which prioritized mobile-friendly websites in search results. The document provides brief descriptions of the goals and impact of these major Google algorithm updates over the past decade.

1. A Decade of Google: From
AlgorithmUpdates to AI
Advancements
Anjali
Upgb-3673

2. GOOGLE UPDATES IN DIFFERENT
YEARS
2013:
1. Hummingbird - a major algorithm update that aimed to
improve semantic search.
2. Enhanced campaigns - an update that made it easier for
advertisers to manage and optimize their campaigns
across different devices.
3. In-depth articles - a feature that highlighted
authoritative articles on a particular topic.
2014:
1. Pigeon - an update that aimed to improve local search
results.
2. HTTPS as a ranking signal - a ranking factor that rewarded
websites with SSL encryption to protect user data.
3. Google My Business - a tool that allowed businesses to
manage their online presence across Google products.
2015:
1. Rank Brain - an algorithm update that incorporated
machine learning into Google's ranking process.
2. Mobile-friendly update - a ranking factor that favoured
mobile-friendly websites in mobile search results.
3. Google Accelerated Mobile Pages (AMP) - a platform that
enabled mobile web pages to load quickly.
2016:
1. Possum - an update that aimed to diversify local search
results and address spam.
2. Penguin 4.0 - an update that targeted spammy links and
penalized websites that violate Google's guidelines.
3. Google Home - a smart speaker that allowed users to
perform voice searches and control smart home devices.

3. GOOGLE UPDATES IN DIFFERENT
YEARS
2017:
1. Fred - an algorithm update that targeted low-quality
content and monetization tactics.
2. Google Jobs - a feature that aggregated job postings
from different sites and displayed them in search results.
3. Google Lens - a visual search tool that could recognize
objects and provide information about them.
2019:
1. BERT - an algorithm update that aimed to improve
understanding of natural language queries.
2. Google Discover - a feature that displayed personalized
content recommendations on the Google app and mobile
home screen.
3. Google Stadia - a cloud gaming platform that allowed
users to stream video games on different devices.
2018:
1. Medic - an update that targeted health and medical
websites and emphasized expertise, authority, and
trustworthiness.
2. Mobile-first indexing - a change that made mobile versions
of websites the primary source for indexing and ranking.
3. Google Duplex - an AI-powered tool that could make
phone calls on behalf of users.
2020:
1. Core updates - several broad algorithm updates that aimed
to improve search relevance and user experience.
2. Passage indexing - a change that allowed Google to
understand and rank individual passages of content within a
page.
3. Google Meet - a video conferencing platform that became
popular during the COVID-19 pandemic.

4. GOOGLE UPDATES IN DIFFERENT
YEARS
2021 (as of Q2):
1. Page Experience update - a ranking factor that takes into
account page loading speed, responsiveness, and other
user-centric metrics.
2. Google Workspace - a rebranding of Google's
productivity tools, which now includes Google Meet,
Google Chat, and other collaboration features.
3. Google I/O 2021 - an annual developer conference at
which Google announced updates to Android, Google
Maps, Google Photos, and other products.
2022:
1. Link spam update.
2. Google helpful content system update.
3. Spam update.
4. Product Reviews Update.
5. Core Update.
6. Helpful content update.
7. Product Reviews Update.
8. Core Update.

5. IMPORTANT Google
Updates
• Google Hummingbird (2013)
• Google Pigeon (2014)
• Google Mobile-Friendly (2015)
• Google Rank Brain (2015)
• Google BERT (2019)
• Google MUM (2023)

6. GOOGLE
HUMMINGBIRD
In 2013, Google introduced the Hummingbird
update, which marked a significant shift in search
engine algorithms. The update focused on
understanding the meaning behind search
queries rather than just matching keywords.
This update paved the way for voice search and
natural language processing, allowing users to
ask more complex questions and receive
accurate results.
Presentation Title 6

7. Google Rank Brain
Rank Brain was a machine learning algorithm
introduced in 2015 to help Google better
understand complex search queries and provide
more accurate results.
This update focused on user intent and context,
allowing Google to interpret ambiguous queries
and provide relevant results even when the exact
keywords were not used.
Presentation Title 7

8. Google BERT
BERT, or Bidirectional Encoder Representations
from Transformers, was introduced in 2019 to
improve natural language processing and
understanding.
This update allowed Google to better understand
the nuances of language and context in search
queries, leading to more accurate and relevant
results for users.
Presentation Title 8

9. Google MUM
(2023)
MUM, or Multitask Unified Model, is the latest
update announced by Google and expected to roll
out in 2023. This update aims to revolutionize
search engine capabilities by understanding
multiple languages, modalities, and tasks
simultaneously.
MUM will be able to understand complex queries
and provide accurate results across various
formats and languages, making it easier for users
to find what they need.
Presentation Title 9

10. Google Mobile-
Friendly
With the rise of mobile devices, Google
introduced the Mobile-Friendly update in 2015 to
prioritize websites that were optimized for mobile
devices.
This update encouraged website owners to create
responsive designs and improve user experience
on mobile devices, leading to better engagement
and higher rankings.
Presentation Title 10

11. The Pigeon update in 2014 aimed to improve
local search results by providing more relevant
and accurate information to users.
This update also gave smaller businesses a
chance to compete with larger corporations by
prioritizing location-based search results over
other factors.
GOOGLE
PIGEON

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