Google Hummingbird, introduced on September 26, 2013, enhances search efficiency by delivering fast, precise answers to complex questions with a focus on conversational, semantic search. Unlike previous algorithms, it personalizes results based on user context, utilizing Google’s Knowledge Graph to improve understanding of user queries and enhance follow-up searches. Despite its advancements, limitations remain in language support and global applicability.

1. By
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Google Hummingbird

2. INTRODUCTION
 Google Hummingbird, named for the “fast and precise” results
it is intended to deliver, was announced at the company’s
15th anniversary conference on September 26, 2013.
 Hummingbird’s strength is the ability to quickly analyze longer,
more complex questions and provide the best answer to the
searcher with the fewest possible clicks.
 "Hummingbird" algorithm is a more human way to interact with
users and provide a more direct answer unlike its previous
versions Panda and Penguin.

3. DIFFERENCE BETWEEN OLD AND NEW SEARCH TECHNIQUES :
Previous Search Techniques Google Hummingbird Search
1) Keyword based search 1) Question-based, conversational, semantic
search(takes into account why,
when,who…)
2)The same search yields same result
for different users.
2) The same search may yield different results
to each user, based on current circumstances
3)Search technique does not use user
information for searching
3)It uses user information like previous
downloads, geographical location, social
shares etc.
4)It cannot handle complex search
strings.
4) It can handle long complex search strings.
It uses Google’s knowledge graph.
5) Provides users many possible options
to continue with search
5)It starts with answering the question. This is
called “conversational search”.

4. KNOWLEDGE GRAPH:
The Knowledge Graph is a knowledge base used by Google to
enhance its search engine's search results with semantic-
search information gathered from a wide variety of sources

5. PAGE RANK ALGORITHM
A webpage’s ranking is determined by analyzing the ranking of all
the other webpages that link to the webpage in question.It is
calculated as,
‘n’ = the number of pages in the web.
C(Tn) = the PageRank of each page by the number of outgoing links on that
page
d= damping factor decrease the influence of all of the pages in relation
to the page in question
Example :
PageRank(p1) = (1- 0.5) + 0.5{ PR(p3)/3 +
PR(p4)/2 + ….}

6. GOOGLE SEARCH TIMELINE
Finding
Year

7. HUMMINGBIRD UPDATE
 It has updated the Page Rank Algorithm. It uses intelligent ranking
of webpages.
 It takes into account question based queries like “why”, “who”,
“when", "what” etc.
 The motivation for the ‘Hummingbird’ update, was the advent
voice-recognition searching.

8. o Indexing faster and put a higher premium on pages that are
more recent.
o Relationally links search queries and Web documents
o Pays more attention to each word in a query, ensuring that the
whole query - the whole sentence or conversation or meaning
- is taken into account, rather than particular words.

9. FEATURES OF HUMMINGBIRD
ALGORITHM
Hummingbird expands the use of the Knowledge Graph , so that
Google answers more complex search queries and also improves
the follow-up search process. For example, if we first search
“picture of Washington Monument” and then do a second search for
“how tall is it?” Google will understand the context of your second
query.
how tall is
it

10. Comparisons
The knowledge graph enables more
comparisons between search objects (ex: “compare
butter vs olive oil”, “compare Earth vs Jupiter” etc.).
Geo-location enhancement
If someone asks “What’s the best place to buy an
iPhone 5s?” then Google will likely bring a result near to his
current location.
Improved mobile search design and
functionality
Voice search and Android/iPhone synchronization are
improved and will likely continue to improve quickly.

11. A SIMPLE WORKING MODEL OF GOOGLE
HUMMING BIRD ALGORITHM
Complicated
queryUser
Google
search
engine
Pages sorted
according to
page rank
inputs Page
request
Response
Sort into pages
according to the
query – taking into
consideration “
why”,”who”…
Most appropriate html
pages

12. IMPORTANT THINGS TO OPTIMIZE WEBSITE FOR
NEW ALGORITHM
For getting high Google rank of our website/blog:
 A Professional Website With Good Content
 Good Backlinks from Related Sites
 Content of your website should original and must related to the
topic/website
Limitations:
 The knowledge graph still does not incorporate many languages.
 The Algorithm result is not applicable to all countries.

13. REFERENCE
 http://thenextweb.com/google/2013/09/26/google-
unveils-search-updates-for-mobile-new-page-rank-
algorithm-and-knowledge-graph-comparisons
 http://www.cs.duke.edu/courses/spring08/cps049s/
Slides/bryan.ppt
 http://googleblog.blogspot.com/2010/06/our-new-
search-index-caffeine.html
 http://www-
scf.usc.edu/~csci571/2013Fall/extras/GooglesNew
SearchAlgorithm.pptx

14. Thank You