WELCOMEWELCOME

GOOGLE HUMMING GOOGLE HUMMING BIRD ALGORITHMBIRD ALGORITHM

PRESENTED BYM.MANASA

13G21D2506

ABSTRACTABSTRACT Google is a search engine and people search several things in Google

to get accurate information.

Google uses a very realistic approach to this searching method and in the process they have developed an algorithm. This algorithm is known as hummingbird algorithm.

The new hummingbird algorithm will change the SEO concept. More stress has been put on conversational keywords. This concept will help provide more direct and realistic search results to the users.

INTRODUCTIONINTRODUCTION

“Hummingbird” is the name of the new search platform that Google is using as of September 2013, the name comes from being “precise and fast” and is designed to better focus on the meaning behind the words.

Hummingbird is paying more attention to each word in a query, ensuring that the whole query or the whole sentence or conversation or meaning is taken into account, rather than particular words.

The goal is that pages matching the meaning do better, rather than pages matching just a few words.

DISADVANTAGES OF PREVIOUS DISADVANTAGES OF PREVIOUS ALGORITHMSALGORITHMS

Penguin and panda knock out low quality contents and links.

Fail to provide better results for voice searches done via mobile devices.

In the past, Google analysed keywords individually and tried to match those individual keywords to the content of the site.

Search returned “statistically” probable answers to the query.

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”.

A SIMPLE WORKING MODEL OF GOOGLE HUMMING BIRD ALGORITHM

Complicated query User

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

SEMANTIC SEARCHSEMANTIC SEARCH Google has implemented semantic search into its core algorithm of

Hummingbird.

Semantics involves finding the relationship between words, phrases, symbols and the meaning they denote.

Ambiguous queries (those queries which have more than one meaning) are broken down and processed via set of pre-defined words helping the engines grasp the real context of the query.

Keyword RelationsKeyword Relations One Word can modify our search results:

Query parsed in a semantic environmentQuery parsed in a semantic environment

CONVERSATIONAL SEARCHCONVERSATIONAL SEARCH

Users of Google Chrome may have noticed a small microphone icon in the right hand corner of Google’s search box If the user clicks on that microphone they may ask aloud the question they would have typed into the search box. The question is then displayed on the search screen, along with the results.

“Google Speak” have come to realize is that the more conversational the query, the more information is provided.

MOBILE SEARCHMOBILE SEARCH

Mobile search engine pages, Google also owns Android which even has its own voice search capabilities.

Hummingbird will have a direct impact on those who employ mobile friendly landing pages or sites

VOICE SEARCHVOICE SEARCH

Voice search naturally tends to mean more conversational and more natural language.

Rather than searching for a one or two word phrase, people will be more inclined to use whole sentences, questions, and more complex queries when they speak.

Hummingbird will determine the most relevant and highest quality pages that meet the needs of the searcher

KNOWLEDGE GRAPH 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.

knowledge is being gathered, categorized, cross-referenced thousands upon thousands of ways, and stored. This vast well of knowledge is available to the Hummingbird.

Google would eventually find a way to utilize this information with an algorithm that deciphers the context of all the words in a query.

FEATURESFEATURES 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.

ADVANTAGESADVANTAGES

Search engine parse can parse full query more quickly.

Google will be able to rank and identified content it has indexed with relevant queries.

search engine can compile voice based queries more accurately.

return relevant results discarded irrelevant results.

search results would be determined to best suit the user experience.

DISADVANATGESDISADVANATGES

Can’t optimizing their websites by using only Keywords .

Think long-term.

Dedicated Website.

Using a Copyright Image/picture on Website.

The knowledge graph still does not incorporate many languages.

The Algorithm result is not applicable to all countries.

CONCLUSIONCONCLUSION

Hummingbird is paying 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. The goal is that pages matching the meaning do better, rather than pages matching just a few words.

Google Hummingbird is designed to apply the meaning technology to billions of pages from across the web, in addition to Knowledge Graph facts, which may bring back better results.

THANK YOUTHANK YOU