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Hummingbird and the Entity Search Revolution 
Presented by: Dave Lloyd 
http://www.magic4walls.com/wp-content/uploads/2013/12/Bird-Hummingbird-Hummingbird.jpg
Adobe.com –from an SEO perspective 
#6 most linked-to web domain 
+15% YoYVisitor & Conversion increase 
Ownership of adobe.com, Support, TV, and Blog subdomains 
Monitor 20,000 SEO keywords, 
60 languages, 250 subdomains or regional sites, & 210 competitors 
@davelloyd1 
slideshare.net/dalloyd
3 
Hummingbird is a new 
Search Engine Algorithm, that impacted 90% 
of search queries 
in Google. 
Hummingbird and the Entity Search Revolution 
http://1.bp.blogspot.com/-_YMdhsSqf54/T5v9Ndpe6II/AAAAAAAATbc/81PT2O2WnK4/s640/ruby+throated+hummingbird+1.jpg
4 
In general, Hummingbird —Google says —is a new engine built on both existing and new parts, organized in a way to especially serve the search demands of today, rather than one created for the needs of ten years ago, with the technologies back then. 
http://searchengineland.com/google-hummingbird-172816 
Hummingbird and the Entity Search Revolution 
http://www.websitemagazine.com/images/blog/mobile-world-shutterstock.png
5 
It doesn’t change the original ranking factors, instead it 
adds additional relevancy signals 
that can also impact rankings and improve user experience. 
Hummingbird and the Entity Search Revolution 
@davelloyd1
6 
Links are 
STILL IMPORTANT 
Hummingbird and the Entity Search Revolution 
http://thecripplegate.com/wp-content/uploads/2011/11/chain-links.jpg
7 
Site Architecture is STILL IMPORTANT 
Hummingbird and the Entity Search Revolution 
http://wallpaperswide.com/spiral_stairs_2-wallpapers.html
8 
Quality Content is STILL IMPORTANT 
Hummingbird and the Entity Search Revolution 
http://ferpalaciosd.files.wordpress.com/2014/08/jh0861_knowledge.jpg
9 
“SERVING THE SEARCH DEMANDS OF TODAY” 
Hummingbird and the Entity Search Revolution
10 
Semantic Search & Search Entities 
Hummingbird and the Entity Search Revolution 
Getting more results than just those that feature the exact keyword you typed into the search box. 
Semantic search will take into account the context and meaning of your search terms and the assumptions that the searcher is making when typing in that search query. 
http://biznetis.net/wp-content/uploads/2013/10/Fotolia_7150837_L.jpg 
@davelloyd1
11 
Knowledge graph was the “first baby step” 
http://googleblog.blogspot.com/2012/05/introducing-knowledge-graph-things-not.html 
Hummingbird and the Entity Search Revolution 
http://www.dreamsforfree.eu/wp-content/uploads/2014/05/first-step.png
12 
The knowledge graph entities vs. search entities 
Hummingbird and the Entity Search Revolution
13 
The knowledge graph entities vs. search entities 
Hummingbird and the Entity Search Revolution
14 
Search Entities can include: 
 
A query a searcher submits 
 
Documents responsive to the query 
 
The search session during which the searcher submits the query 
 
The time at which the query is submitted 
 
Advertisements presented in response to the query 
 
Anchor text in a link in a document 
 
The domain associated with a document 
“Search entities” (as opposed to entities that relate to people, places, and things) are primarily about relationships between keywords. Relationships between keywords or entities help provide a layer of semantic relevancy, and can be used to make rank adjustments. 
Synonym identification based 
on co-occurring terms 
The knowledge graph entities vs. search entities 
Hummingbird and the Entity Search Revolution
15 
Refined topic modeling, more knowledge graph references, and semantic signals are coalescing. 
 
Search queries improved based on semantic info 
 
Evaluation of substitute terms 
 
Synonym identification based on co-occurring terms 
Today, signals such as keyword co-occurrence, user behavior, and previous searches do in fact inform context around search queries, which impact the SERP landscape. 
Hummingbird and the Entity Search Revolution 
http://www.xrce.xerox.com/About-XRCE/Overview/1993-2013-20-years-of-innovation/Articles/How-machines-can-learn-what-humans-interpret-adapting-probabilistic-topic-models-to-natural-language
16 
All this giving you a headache yet? 
Hummingbird and the Entity Search Revolution 
http://www.resimbul.com/sonuc/sac-ekimi/sac-ekimi-yan-etkileri/sac-ekimi-yan-etkileri-d4f2a3.jpg
17 
“My head hurts” 
Hummingbird and the Entity Search Revolution
18 
Examples of Query expansion 
Hummingbird and the Entity Search Revolution 
Based on query sessions 
@davelloyd1
19 
Examples of Query expansion 
Hummingbird and the Entity Search Revolution 
Based on previous search
20 
Synonyms & query re-writing 
Hummingbird and the Entity Search Revolution 
“Hardware reviews” -> “Computer”
21 
Synonyms & query re-writing 
Hummingbird and the Entity Search Revolution 
“Hardware reviews” -> “Computer”
23 
Synonyms & query expansion 
Hummingbird and the Entity Search Revolution
24 
Synonyms & query expansion 
Hummingbird and the Entity Search Revolution
25 
How to Pages 
Hummingbird and the Entity Search Revolution 
@davelloyd1
In-house SEO and Leadership 25 
Make your topical content the repeat destination
Improve the user experience 
26
In-house SEO and Leadership 27 
Curate similar topical content based on intent
In-house SEO and Leadership 28 
Meta data & entity relationships improve Site Search performance
26 
Hummingbird and the Entity Search Revolution 
Rankings are an additional, not primary, benefit
31 
How does that impact my day to day as an SEO? 
 
Focus on customer-focused topics by intent, not keywords 
 
Promote the schema.org tagging protocol within web teams 
 
Evaluate location queries via mobile as these are ready-made for entity search 
 
Add competitive or non-brand terms co-occurring with the top 10-20 search results 
 
Evaluate Knowledge Graph for your terms that trigger KG 
 
Use new keyword research tools like Google Autocomplete, LSI Keywords, and UberSuggestto understand keyword entities 
 
Use internal & social linking to improve co-citations 
 
Develop How To content & query refinement suggestions 
http://www.clickz.com/clickz/column/2334906/key-ways-to-stay-current-with-semantic-search-changes 
http://www.cleverdicc.com/wp-content/uploads/2011/05/water-drop.jpg 
@davelloyd1 
slideshare.net/dalloyd

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Hummingbird & Entity Search - Pubcon 2014 - Dave Lloyd, Adobe

  • 1. Hummingbird and the Entity Search Revolution Presented by: Dave Lloyd http://www.magic4walls.com/wp-content/uploads/2013/12/Bird-Hummingbird-Hummingbird.jpg
  • 2. Adobe.com –from an SEO perspective #6 most linked-to web domain +15% YoYVisitor & Conversion increase Ownership of adobe.com, Support, TV, and Blog subdomains Monitor 20,000 SEO keywords, 60 languages, 250 subdomains or regional sites, & 210 competitors @davelloyd1 slideshare.net/dalloyd
  • 3. 3 Hummingbird is a new Search Engine Algorithm, that impacted 90% of search queries in Google. Hummingbird and the Entity Search Revolution http://1.bp.blogspot.com/-_YMdhsSqf54/T5v9Ndpe6II/AAAAAAAATbc/81PT2O2WnK4/s640/ruby+throated+hummingbird+1.jpg
  • 4. 4 In general, Hummingbird —Google says —is a new engine built on both existing and new parts, organized in a way to especially serve the search demands of today, rather than one created for the needs of ten years ago, with the technologies back then. http://searchengineland.com/google-hummingbird-172816 Hummingbird and the Entity Search Revolution http://www.websitemagazine.com/images/blog/mobile-world-shutterstock.png
  • 5. 5 It doesn’t change the original ranking factors, instead it adds additional relevancy signals that can also impact rankings and improve user experience. Hummingbird and the Entity Search Revolution @davelloyd1
  • 6. 6 Links are STILL IMPORTANT Hummingbird and the Entity Search Revolution http://thecripplegate.com/wp-content/uploads/2011/11/chain-links.jpg
  • 7. 7 Site Architecture is STILL IMPORTANT Hummingbird and the Entity Search Revolution http://wallpaperswide.com/spiral_stairs_2-wallpapers.html
  • 8. 8 Quality Content is STILL IMPORTANT Hummingbird and the Entity Search Revolution http://ferpalaciosd.files.wordpress.com/2014/08/jh0861_knowledge.jpg
  • 9. 9 “SERVING THE SEARCH DEMANDS OF TODAY” Hummingbird and the Entity Search Revolution
  • 10. 10 Semantic Search & Search Entities Hummingbird and the Entity Search Revolution Getting more results than just those that feature the exact keyword you typed into the search box. Semantic search will take into account the context and meaning of your search terms and the assumptions that the searcher is making when typing in that search query. http://biznetis.net/wp-content/uploads/2013/10/Fotolia_7150837_L.jpg @davelloyd1
  • 11. 11 Knowledge graph was the “first baby step” http://googleblog.blogspot.com/2012/05/introducing-knowledge-graph-things-not.html Hummingbird and the Entity Search Revolution http://www.dreamsforfree.eu/wp-content/uploads/2014/05/first-step.png
  • 12. 12 The knowledge graph entities vs. search entities Hummingbird and the Entity Search Revolution
  • 13. 13 The knowledge graph entities vs. search entities Hummingbird and the Entity Search Revolution
  • 14. 14 Search Entities can include:  A query a searcher submits  Documents responsive to the query  The search session during which the searcher submits the query  The time at which the query is submitted  Advertisements presented in response to the query  Anchor text in a link in a document  The domain associated with a document “Search entities” (as opposed to entities that relate to people, places, and things) are primarily about relationships between keywords. Relationships between keywords or entities help provide a layer of semantic relevancy, and can be used to make rank adjustments. Synonym identification based on co-occurring terms The knowledge graph entities vs. search entities Hummingbird and the Entity Search Revolution
  • 15. 15 Refined topic modeling, more knowledge graph references, and semantic signals are coalescing.  Search queries improved based on semantic info  Evaluation of substitute terms  Synonym identification based on co-occurring terms Today, signals such as keyword co-occurrence, user behavior, and previous searches do in fact inform context around search queries, which impact the SERP landscape. Hummingbird and the Entity Search Revolution http://www.xrce.xerox.com/About-XRCE/Overview/1993-2013-20-years-of-innovation/Articles/How-machines-can-learn-what-humans-interpret-adapting-probabilistic-topic-models-to-natural-language
  • 16. 16 All this giving you a headache yet? Hummingbird and the Entity Search Revolution http://www.resimbul.com/sonuc/sac-ekimi/sac-ekimi-yan-etkileri/sac-ekimi-yan-etkileri-d4f2a3.jpg
  • 17. 17 “My head hurts” Hummingbird and the Entity Search Revolution
  • 18. 18 Examples of Query expansion Hummingbird and the Entity Search Revolution Based on query sessions @davelloyd1
  • 19. 19 Examples of Query expansion Hummingbird and the Entity Search Revolution Based on previous search
  • 20. 20 Synonyms & query re-writing Hummingbird and the Entity Search Revolution “Hardware reviews” -> “Computer”
  • 21. 21 Synonyms & query re-writing Hummingbird and the Entity Search Revolution “Hardware reviews” -> “Computer”
  • 22. 23 Synonyms & query expansion Hummingbird and the Entity Search Revolution
  • 23. 24 Synonyms & query expansion Hummingbird and the Entity Search Revolution
  • 24. 25 How to Pages Hummingbird and the Entity Search Revolution @davelloyd1
  • 25. In-house SEO and Leadership 25 Make your topical content the repeat destination
  • 26. Improve the user experience 26
  • 27. In-house SEO and Leadership 27 Curate similar topical content based on intent
  • 28. In-house SEO and Leadership 28 Meta data & entity relationships improve Site Search performance
  • 29. 26 Hummingbird and the Entity Search Revolution Rankings are an additional, not primary, benefit
  • 30. 31 How does that impact my day to day as an SEO?  Focus on customer-focused topics by intent, not keywords  Promote the schema.org tagging protocol within web teams  Evaluate location queries via mobile as these are ready-made for entity search  Add competitive or non-brand terms co-occurring with the top 10-20 search results  Evaluate Knowledge Graph for your terms that trigger KG  Use new keyword research tools like Google Autocomplete, LSI Keywords, and UberSuggestto understand keyword entities  Use internal & social linking to improve co-citations  Develop How To content & query refinement suggestions http://www.clickz.com/clickz/column/2334906/key-ways-to-stay-current-with-semantic-search-changes http://www.cleverdicc.com/wp-content/uploads/2011/05/water-drop.jpg @davelloyd1 slideshare.net/dalloyd