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The Secret Life of Queries:
Parsing, Rewriting & SEO
Rebecca Berbel | Oncrawl
Koray Tuǧberk Gübür | Holistic SEO
slideshare.net/Oncrawl
@RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
^(([^:/?#]+):)?(//([^
/?#]*))?([^?#]*)(?([
^#]*))?(#(.*))?
https://www.google.com
/search?q=search+engine+k
eywords#anchor
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
WHAT
THAT
MEANT
FOR SEO
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
NOT
ANY
MORE.
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
LET'S
TAKE A
LOOK.
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
PARSING
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
Parsing a query
#brightonSEO @RebBerbel @KorayGubur
REWRITING
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
Query segments
#brightonSEO @RebBerbel @KorayGubur
Keyword clustering
#brightonSEO @RebBerbel @KorayGubur
Keywords → Questions
#brightonSEO @RebBerbel @KorayGubur
Question Templates
#brightonSEO @RebBerbel @KorayGubur
Query refinements
#brightonSEO @RebBerbel @KorayGubur
CONTEXT
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
User Intent
#brightonSEO @RebBerbel @KorayGubur
User Intent
#brightonSEO @RebBerbel @KorayGubur
Location/Time
#brightonSEO @RebBerbel @KorayGubur
FINDING
ANSWERS
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
BERT
#brightonSEO @RebBerbel @KorayGubur
Candidate Passages
#brightonSEO @RebBerbel @KorayGubur
Candidate Passages
#brightonSEO @RebBerbel @KorayGubur
Candidate Passages
#brightonSEO @RebBerbel @KorayGubur
PHEW.
LET'S
TAKE A
STEP BACK.
#brightonSEO @RebBerbel @KorayGubur
THERE'S MORE
(but we'll stop here)
#brightonSEO @RebBerbel @KorayGubur
GOOGLE DOES NOT USE
THE TEXT YOU TYPED
TO SEARCH FOR
RESULTS.
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
WHAT
THAT
MEANS
FOR SEO
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
BUILD
TOPICAL
RELEVANCE
Oncrawl / Koray
#brightonSEO @RebBerbel @KorayGubur
REMEMBER
NEURAL
MATCHING
Danny Sullivan (Twitter)
#brightonSEO @RebBerbel @KorayGubur
GROUP
TARGETED
QUERIES
Stefan Neefischer
#brightonSEO @RebBerbel @KorayGubur
THINK
SEARCH
INTENT
Johanna Maier / Lidia Infante / Lazarina Stoy
#brightonSEO @RebBerbel @KorayGubur
DOES IT
WORK?
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
#brightonSEO @RebBerbel @KorayGubur
Semantic networks & topical relevance
#brightonSEO @RebBerbel @KorayGubur
Semantic networks & topical relevance
10K to 70K
clicks per month
(5 months)
10K to 200K+
clicks per month
(5 months)
0 to 330K+
clicks per month
(6 months)
+400%
growth
(6 months)
#brightonSEO @RebBerbel @KorayGubur
Thank you!
@RebBerbel
rebecca@oncrawl.com
@KorayGubur
Holistic SEO
ktgubur@holisticseo.digital
#brightonSEO @RebBerbel @KorayGubur

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Search Query Processing: The Secret Life of Queries, Parsing, Rewriting & SEO

Editor's Notes

  1. http://norvig.com/ - Peter Norvig, Director of Research at GOogle (Levenshtein Distance)
  2. 2011 / 2013
  3. Keyword stuffing
  4. Misspellings - 10% of queries ? Pre-2014 tool for "PPC" Digg, August 2008
  5. 2011 / 2013
  6. 2011 / 2013
  7. 2011 / 2013
  8. 2011 / 2013
  9. 2011 / 2013
  10. Probabilistic Graphical Model for the Keywords to Questions system’s “User Inquiry Intent Model” (K2Q)
  11. Probabilistic Graphical Model for the Keywords to Questions system’s “User Inquiry Intent Model” (K2Q)
  12. This is by Jakob Uszkoreit, whose work today is almost exclusively on attention-based transformers (NLP)
  13. 2011 / 2013
  14. "Candidate answer passages are generated from both structured content and unstructured content according to corresponding selection criteria. This allows the user to not only receive prose-type explanations but also to receive a combination of prose-type and factual information, which, in turn, may be highly relevant to the user's informational need."
  15. MuM "Neural matching" SERP features Information retrieval processes Cost optimization
  16. 2011 / 2013
  17. Putting keywords on a page is not sufficient LSI keywords don't exist Websites are evaluated as a whole, not page-by-page