aka Google Algorithm Updates
VIJAY SANKAR
VS
Index of Bing
Spiders / Crawlers Index of TopicsAlgorithms
reebok – website 1
Shoes website 2
….
….
…..
….
…..
Algorithms
VS
• Signal
 Any factor of a web page considered by a search engine to rank the page against a
keyword and show it in results
• Update
 An algorithm update is a major change involving changes in ranking signals involved
• Refresh
 No change in ranking signals
 Data refresh
 Improve the quality of ranking results (based on an algorithm)
 Index refresh
Understanding the differences
VS
200+
VS
Source: Search Engine Land
VS
Links
Quality of
Content
RankBrain
aka today’s discussion points
VS
• Measuring the importance of a web page using links to it as a voting
mechanism
• Ranking a web page is based on how many links are linking to it and (how
credible are each of those)
Understanding Google PageRank algorithm
VS
• Measuring the importance of a web page using links to it as a voting
mechanism
• Ranking a web page is based on how many links are linking to it and (how
credible are each of those)
Understanding Google PageRank algorithm
VS
2003-2004
Boston
Cassandra
Dominic
Austin
Brandy
2005-2006
Bourbon
Personalized
Search
Local
Big Daddy
2007-2008
Universal
Search
Suggest
Vince
2009–2010
Caffeine
May Day
Social
2011–2012
Panda
Google+
Venice
Semantic
Penguin
2013–2014
Hummingbird
Pigeon
2015–2016
Machine
Learning
Mobile
Friendliness
For a complete list of updates from 1999, visit Moz Google Algorithm Change History
VS
• Keyword stuffing
• Link farms
• Duplicate content
Penguin 1.0
(2012)
• Advertorials
• Back-linking
• Credibility/Content
Penguin 2.0
(2013)
• Refinement on link building
• Move to a continuous roll out update
• Recoveries from 2.0
Penguin 3.0
(2014)
Taming bad link building and other black-hat practices
VS
Quality
• Quality of Content
• Content Farms
Duplication
• Duplicative pages
• Multi-Site/
Micro-Site
User
Experience
• Ad to Content ratio
• Navigation
Taming the quality of content
VS
Proximity over Authority
Directories being favored
Local business results v/s brands
Importance to long tail keywords
Its all about making local search better
VS
Synonyms of
keywords and
location
Semantic substitutions and
use of mark ups
Geo location &
Search device
• Search results based on documents and relationships
• Conversational search of ‘what is’,‘when is’ and ‘what for’ type of queries
• Shifting from un-structured data to a structured framework
opening of semantic search
• Tries to understand the intent of search
• ‘parker’ pen or ‘parker’ movie
• Tries to understand the context of search
• s6’ is a Samsung mobile model being
reviewed
• Tries to understand similarities/synonyms
• ‘red frock’ and ‘dark frock’
VS
How search engines are becoming knowledge engines?
VS
key components of semantic search/web
• Resources instead of web pages
• Defined by data, metadata and rules
• Identified by a URI/IRI
• Vocabulary
• Give a structure to meta data
• Use XML to define the structure
• A layer of abstraction
• Resource Document Framework
• <Subject> -> Property/Predicate -> <Object>
• Ontology
• Rules in defining data
• Model a domain to make it re-usable and share-
able
• Google Semantic Search Engine
VS
VS
learning what you intend to without visiting a page
VS
The machine learning component
VS
VS
VS
VS
VS
• Being mobile friendly as a search signal
 Page by page focus (as opposed to domain wide)
• Affects only mobile searches
• App Install buttons
aka mobilegeddon
VS
• Increased organic traffic to app
• Enhanced usage of app and possible revenue capture
• Potential to even get your app's logo shown
in search results
• Potential increase in more app installations
showing app content in search results
VS
one step ahead to Mobile-First…
VS
• Shift from Keyword to Quality of Content
• Shift from Links to Credibility
• Shift from Query Engine to Knowledge Engine
• Shift towards Mobile-First
aka what all these updates are collectively trying to achieve?
VS

Understanding search engine algorithms

  • 1.
    aka Google AlgorithmUpdates VIJAY SANKAR
  • 2.
    VS Index of Bing Spiders/ Crawlers Index of TopicsAlgorithms reebok – website 1 Shoes website 2 …. …. ….. …. ….. Algorithms
  • 3.
    VS • Signal  Anyfactor of a web page considered by a search engine to rank the page against a keyword and show it in results • Update  An algorithm update is a major change involving changes in ranking signals involved • Refresh  No change in ranking signals  Data refresh  Improve the quality of ranking results (based on an algorithm)  Index refresh Understanding the differences
  • 4.
  • 5.
  • 6.
  • 7.
    VS • Measuring theimportance of a web page using links to it as a voting mechanism • Ranking a web page is based on how many links are linking to it and (how credible are each of those) Understanding Google PageRank algorithm
  • 8.
    VS • Measuring theimportance of a web page using links to it as a voting mechanism • Ranking a web page is based on how many links are linking to it and (how credible are each of those) Understanding Google PageRank algorithm
  • 9.
  • 10.
    VS • Keyword stuffing •Link farms • Duplicate content Penguin 1.0 (2012) • Advertorials • Back-linking • Credibility/Content Penguin 2.0 (2013) • Refinement on link building • Move to a continuous roll out update • Recoveries from 2.0 Penguin 3.0 (2014) Taming bad link building and other black-hat practices
  • 11.
    VS Quality • Quality ofContent • Content Farms Duplication • Duplicative pages • Multi-Site/ Micro-Site User Experience • Ad to Content ratio • Navigation Taming the quality of content
  • 12.
    VS Proximity over Authority Directoriesbeing favored Local business results v/s brands Importance to long tail keywords Its all about making local search better
  • 13.
    VS Synonyms of keywords and location Semanticsubstitutions and use of mark ups Geo location & Search device • Search results based on documents and relationships • Conversational search of ‘what is’,‘when is’ and ‘what for’ type of queries • Shifting from un-structured data to a structured framework opening of semantic search • Tries to understand the intent of search • ‘parker’ pen or ‘parker’ movie • Tries to understand the context of search • s6’ is a Samsung mobile model being reviewed • Tries to understand similarities/synonyms • ‘red frock’ and ‘dark frock’
  • 14.
    VS How search enginesare becoming knowledge engines?
  • 15.
    VS key components ofsemantic search/web • Resources instead of web pages • Defined by data, metadata and rules • Identified by a URI/IRI • Vocabulary • Give a structure to meta data • Use XML to define the structure • A layer of abstraction • Resource Document Framework • <Subject> -> Property/Predicate -> <Object> • Ontology • Rules in defining data • Model a domain to make it re-usable and share- able • Google Semantic Search Engine
  • 16.
  • 17.
    VS learning what youintend to without visiting a page
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
    VS • Being mobilefriendly as a search signal  Page by page focus (as opposed to domain wide) • Affects only mobile searches • App Install buttons aka mobilegeddon
  • 24.
    VS • Increased organictraffic to app • Enhanced usage of app and possible revenue capture • Potential to even get your app's logo shown in search results • Potential increase in more app installations showing app content in search results
  • 25.
    VS one step aheadto Mobile-First…
  • 26.
    VS • Shift fromKeyword to Quality of Content • Shift from Links to Credibility • Shift from Query Engine to Knowledge Engine • Shift towards Mobile-First aka what all these updates are collectively trying to achieve?
  • 27.