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The Future of Search
SearchLove Boston
May 20th, 2013
Bill Slawski
It’s been a good week for Science Fiction –
Space Oddity in Zero Gravity
http://youtu.be/KaOC9danxNo
Amit Singhal on his Childhood Star Trek
Computer Dreams at Google I/O
http://www.youtube.com/watch?v=9pmPa_KxsAM
“Hello Computer”
Amit also introduced his portion of the
developer’s conference as “The Death of
Search”
Should we be Afraid? Concerned?
We should be aware!
The Future and Change Permeates
the World Around us
David Foster Wallace on Water
http://www.youtube.com/watch?v=xmpYnxlEh0c
Future Shock is the stress we
feel because of change
http://www.youtube.com/watch?v=6Ghzomm15yE
“Tell me more of this change
management.”
A former supervisor of mine, hearing “change
management,” became worried that he was
being replaced by computers.
Matt Cutts Recently warned people to not
take patents too seriously
What's the latest SEO misconception that you would like to put to rest?
Let’s Ignore Matt’s Warning!
Patents give the owners a right to
prevent others from carrying out the
invention (manufacturing or marketing)
but not from learning from the invention.
WIPO on Using patent information for policy and business analysis
Bill Slawski
 Writes about patents and takes them very
seriously     
 Reads Science Fiction and Patents like
Cereal Boxes
 Works for Webimax as a Senior SEO
Consultant – Blogs at SEObytheSea.com
What’s New?
New Ways to Crawl & New
Indexing Approaches
New Ways to Search
New Ways to Rank
Old Crawling and Indexing
Approaches
• Googlebot
• Streetview Cars
• XML Sitemaps
• Canonical Link Elements
• Pagination Markup
• HREFLANG
Markup/Sitemaps
New Crawling and Indexing Approaches
 WOWD Distributed Indexing
 Open Learning Information
Extraction
 Mobile Devices and (Lots of)
Sensors
 Robots and Cloud-Based
Object Recognition
 Self-Driving Cars and (Lots of)
Sensors
 Glass and Life Streaming
WOWD
System and Method for Recommendation of Interesting Web Pages
Based on User Browsing Actions
Google Acquired
Patents from
WOWD that
Use a Distributed
Index Based on
Links People
Click Upon
Open Language Learning for
Information Extraction
Open information extraction from the Web
Mobile Devices and Sensors
Methods and apparatus for prediction and modification of behavior
in networks
Barometer, Thermometer,
Hygrometer, Accelerometer,
Magnometer, GPS, Bluetooth,
Ambient Light, Proximity,
Compass, Gyroscope,
Microphone
Cloud-Based Robots
Methods and systems for providing instructions to a robotic device
Methods and systems for autonomous robotic decision making
Self Driving Cars and Sensors
“The communication is two-way, so in addition to downloading Google’s
maps, the car can upload its map to Google. If several self-driving cars
upload maps showing the new construction barrels, for example, Google
can update the map it sends to other cars, letting those cars anticipate the
hazard.” - Yes, Driverless Cars Know the Way to San Jose
Heads Up Display Google Glass
Method and Apparatus for Enabling a Searchable History of Real-World
User Experiences
Searching
 Facebook Graph Search
 Knowledge Panels
 Knowledge Cards and Google Now
 Search Plus Your World
 Agent Rank
Facebook Graph Search
Default Structured Search Queries on Online Social Networks
Knowledge Panels
Providing Knowledge Panels With Search Results
Knowledge Cards
Providing digital content based on expected user behavior
Search Plus Your World
Following Online Social Behavior to Enhance Search Experience (Bing)
Social Network Powered Search Enhancements (Bing)
Presenting Social Search Results (Google)
Agent Rank
Agent Rank - Version 1
Google’s Agent Rank Patent Application - My 2007 Write-up of it in Search Engine
Land
Agent Rank - Version 2 – Portability
Agent Rank - Version 3 – Not all Endorsements are Equal
The identity of individual agents responsible
for content can be used to influence search
ratings…. Multiple agents can make
contributions to a single web page where
each agent is only associated to the content
that the agent provided.
Ranking
 Updated News (less tradition)
 Entities for the Win!
 User Rank
 Quality rating and Re-Ranking
(Panda and More)
Updated News
Systems and methods for improving the ranking of news articles – 1st Version
Systems and methods for improving the ranking of news articles – 2nd Version
Systems and methods for improving the rankings of news articles – 3rd Version
When Google clusters
News articles around a
topic, it picks representative
stories for each cluster.
The claims section of the
latest version no longer
seems to favor Traditional
media sources…
Entities For The Win
Identifying Aspects for Web-Search Queries
Aspector combines two sources of information to compute
aspects. We discover candidate aspects by analyzing query
logs, and cluster them to eliminate redundancies.
We then use a mass-collaboration knowledge base (e.g.,
Wikipedia) to compute candidate aspects for queries that occur
less frequently and to group together aspects that are likely to
be “semantically” related.
User Rank
Ranking User Generated Web Content
• How relevant a response/comment might be from the 1st
person to something that the 2nd person posted,
• How original a post/comment/piece of content submitted to
the network might be compared to other content items,
• How much “coverage” or broadening of a topic a piece of
content might add to the network, based upon uncommon
terms in the post or comment or reply,
• How “rich” the content item might be, (Does it include
multimedia/rich media content) or
• The timeliness of a content item, such as a quick comment in
response to a post.
Quality Rating
Website quality signal generation
Take Aways
 Read Patents – Don’t make assumptions 
 Don’t be Afraid of Change (SEO is Dead, Again)
 Understand New Data (Sensor) Collection
Approaches
 Make Pages about “Things not Strings” and
understand aspects and relationships between
them.
 Ranking will be increasingly about authority and
quality online
Thank You
Bill Slawski
@bill_slawski
bill@seobythesea.com
bslawski@webimax.com
http://www.seobythesea.com
http://www.webimax.com

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SearchLove Boston 2013_Bill Slawski_Future Search

  • 1. The Future of Search SearchLove Boston May 20th, 2013 Bill Slawski
  • 2. It’s been a good week for Science Fiction – Space Oddity in Zero Gravity http://youtu.be/KaOC9danxNo
  • 3. Amit Singhal on his Childhood Star Trek Computer Dreams at Google I/O http://www.youtube.com/watch?v=9pmPa_KxsAM
  • 4. “Hello Computer” Amit also introduced his portion of the developer’s conference as “The Death of Search”
  • 5. Should we be Afraid? Concerned? We should be aware!
  • 6. The Future and Change Permeates the World Around us David Foster Wallace on Water http://www.youtube.com/watch?v=xmpYnxlEh0c
  • 7. Future Shock is the stress we feel because of change http://www.youtube.com/watch?v=6Ghzomm15yE
  • 8. “Tell me more of this change management.” A former supervisor of mine, hearing “change management,” became worried that he was being replaced by computers.
  • 9. Matt Cutts Recently warned people to not take patents too seriously What's the latest SEO misconception that you would like to put to rest?
  • 10. Let’s Ignore Matt’s Warning! Patents give the owners a right to prevent others from carrying out the invention (manufacturing or marketing) but not from learning from the invention. WIPO on Using patent information for policy and business analysis
  • 11. Bill Slawski  Writes about patents and takes them very seriously       Reads Science Fiction and Patents like Cereal Boxes  Works for Webimax as a Senior SEO Consultant – Blogs at SEObytheSea.com
  • 12. What’s New? New Ways to Crawl & New Indexing Approaches New Ways to Search New Ways to Rank
  • 13. Old Crawling and Indexing Approaches • Googlebot • Streetview Cars • XML Sitemaps • Canonical Link Elements • Pagination Markup • HREFLANG Markup/Sitemaps
  • 14. New Crawling and Indexing Approaches  WOWD Distributed Indexing  Open Learning Information Extraction  Mobile Devices and (Lots of) Sensors  Robots and Cloud-Based Object Recognition  Self-Driving Cars and (Lots of) Sensors  Glass and Life Streaming
  • 15. WOWD System and Method for Recommendation of Interesting Web Pages Based on User Browsing Actions Google Acquired Patents from WOWD that Use a Distributed Index Based on Links People Click Upon
  • 16. Open Language Learning for Information Extraction Open information extraction from the Web
  • 17. Mobile Devices and Sensors Methods and apparatus for prediction and modification of behavior in networks Barometer, Thermometer, Hygrometer, Accelerometer, Magnometer, GPS, Bluetooth, Ambient Light, Proximity, Compass, Gyroscope, Microphone
  • 18. Cloud-Based Robots Methods and systems for providing instructions to a robotic device Methods and systems for autonomous robotic decision making
  • 19. Self Driving Cars and Sensors “The communication is two-way, so in addition to downloading Google’s maps, the car can upload its map to Google. If several self-driving cars upload maps showing the new construction barrels, for example, Google can update the map it sends to other cars, letting those cars anticipate the hazard.” - Yes, Driverless Cars Know the Way to San Jose
  • 20. Heads Up Display Google Glass Method and Apparatus for Enabling a Searchable History of Real-World User Experiences
  • 21. Searching  Facebook Graph Search  Knowledge Panels  Knowledge Cards and Google Now  Search Plus Your World  Agent Rank
  • 22. Facebook Graph Search Default Structured Search Queries on Online Social Networks
  • 23. Knowledge Panels Providing Knowledge Panels With Search Results
  • 24. Knowledge Cards Providing digital content based on expected user behavior
  • 25. Search Plus Your World Following Online Social Behavior to Enhance Search Experience (Bing) Social Network Powered Search Enhancements (Bing) Presenting Social Search Results (Google)
  • 26. Agent Rank Agent Rank - Version 1 Google’s Agent Rank Patent Application - My 2007 Write-up of it in Search Engine Land Agent Rank - Version 2 – Portability Agent Rank - Version 3 – Not all Endorsements are Equal The identity of individual agents responsible for content can be used to influence search ratings…. Multiple agents can make contributions to a single web page where each agent is only associated to the content that the agent provided.
  • 27. Ranking  Updated News (less tradition)  Entities for the Win!  User Rank  Quality rating and Re-Ranking (Panda and More)
  • 28. Updated News Systems and methods for improving the ranking of news articles – 1st Version Systems and methods for improving the ranking of news articles – 2nd Version Systems and methods for improving the rankings of news articles – 3rd Version When Google clusters News articles around a topic, it picks representative stories for each cluster. The claims section of the latest version no longer seems to favor Traditional media sources…
  • 29. Entities For The Win Identifying Aspects for Web-Search Queries Aspector combines two sources of information to compute aspects. We discover candidate aspects by analyzing query logs, and cluster them to eliminate redundancies. We then use a mass-collaboration knowledge base (e.g., Wikipedia) to compute candidate aspects for queries that occur less frequently and to group together aspects that are likely to be “semantically” related.
  • 30. User Rank Ranking User Generated Web Content • How relevant a response/comment might be from the 1st person to something that the 2nd person posted, • How original a post/comment/piece of content submitted to the network might be compared to other content items, • How much “coverage” or broadening of a topic a piece of content might add to the network, based upon uncommon terms in the post or comment or reply, • How “rich” the content item might be, (Does it include multimedia/rich media content) or • The timeliness of a content item, such as a quick comment in response to a post.
  • 31. Quality Rating Website quality signal generation
  • 32. Take Aways  Read Patents – Don’t make assumptions   Don’t be Afraid of Change (SEO is Dead, Again)  Understand New Data (Sensor) Collection Approaches  Make Pages about “Things not Strings” and understand aspects and relationships between them.  Ranking will be increasingly about authority and quality online