Promoting the blog with search engine optimization
Hummingbird & the entity revolution
1. Bill Slawski
SMX East 2014 (#smx #21A)
October 1, 2014 (9:00am-10:15am)
2. When Sergey Gave Larry a Tour
“We both found each other obnoxious,” Brin counters
when I tell him of Page's response. "But we say it a
little bit jokingly. Obviously we spent a lot of time
talking to each other, so there was something there.
We had a kind of bantering thing going." Page and
Brin may have clashed, but they were clearly
drawn together - two swords sharpening one
another.
The Birth of Google by John Battelle #smx #21A @bill_slawski
16. Google Starts a Conversation
FAQ: All About The New Google “Hummingbird”
Algorithm
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17. Entities become “Search Entities”
Search entity transition matrix and applications of the transition matrix
Relationships between Search Entities
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19. Tracking Knowledge Information
Each record (herein referred to as a tuple: <document
, query, data> ) comprises a query submitted by
users, a document reference indicating the document
selected by users in response to the query, and an
aggregation of click data for all users or a subset of all
users that selected the document reference in response
to the query.
Propagating query classifications
Using Query User Data to Classify Queries
#smx #21A @bill_slawski
20. Google is
Viewing Entities as Search Entities (“lincoln as a
person” is a query)
likely using an RDF (Resource Description Framework)
schema for tracking information to calculate
probabilities (based on user behavior) of things like
what classification is meant by a query.
Searching for Patterns in Queries and on Pages to
answer questions
Looking for Schema markup and schema-related
facts and attributes information to create and
understand context.
#smx #21A @bill_slawski
22. Query Revision Based on Context
and Substitute Rules
Synonym identification based on co-occurring terms #smx #21A @bill_slawski
23. For example, the user may enter the search query "What is
the best place to find and eat Chicago deep dish style
pizza?"
In determining whether the term "restaurant" is a synonym
for the query term "place", a synonym engine may evaluate
the query term in the context of adjacent terms, such as
"best" or "to," as well as non-adjacent terms, such as
"Chicago" and "pizza."
Such an evaluation may result in the decision that, in the
context of the non-adjacent term "pizza," the term
"restaurant" is a synonym of the query term "place."
#smx #21A @bill_slawski
33. Thank you - Bill Slawski
Director of Search Marketing at GoFishDigital
Author at SEO by the Sea
Tweet me at https://twitter.com/bill_slawski
About this session (#smx #21A)
Connect Author Entities:
https://plus.google.com/u/1/+BillSlawski/posts
Email me: bill.slawski@gofishdigital.com
#smx #21A @bill_slawski
Notes de l'éditeur
1999 paper by Sergey Brin was also filed as a provisional patent, and updated at least three times since in continuation patents, including a recent filing.
This new Knowledge division when Lawrence page became CEO was announced quietly in one of Google’s financial documents.
