Google yesterday launched an update to it's search algorithm and calls it "Hummingbird". It seems like an add-on for the Knowledge graph search feature which is the Google's initiative towards making search more meaningful.
Before I jump on what Hummingbird feature will add-on to the search capability in Google, let me throw some light on how conventional search work's and what changes knowledge graph feature introduced. Then we will try to understand where Google is trying to go with Hummingbird algorithm by comparing it with the bird Hummingbird!
Before I jump on what Hummingbird feature will add-on to the search capability in Google, let me throw some light on how conventional search work's and what changes knowledge graph feature introduced. Then we will try to understand where Google is trying to go with Hummingbird algorithm by comparing it with the bird Hummingbird!
How search works?
- Everyone is creating web pages whether its businesses or individuals. There are trillions i.e. 10^18 of web pages.As per Google it's 60 trillions and it's continuously increasing. There are around 400,000,000 domains. 150,000 new url's every day.
- People can't remember the url's as there are so many for everything, so people use search engines like Google, Yahoo, Bing, Ask etc... to search the content.
- Businesses or individuals register themselves to the search engines.
- Search engines navigates the web or all the registered sites, which is called crawling.
- Crawler crawls the registered page and from there it follows links from page to page.
- Search engines sorts the pages by their content and various other factors and keep track of it in the index.
- Now as you search any keyword on the search page, Google runs it's best algorithms behind the scenes i.e. auto complete, synonyms, spelling, query understanding and search methods etc..., looking for clues to better understand what you really mean.
- Based on the clues, it fetches the document from the index.
- Google ranks the results based on various factors, few significant one are:
1. site and page quality 2. freshness 3. safesearch i.e. reduces the amount of adult web pages, images and videos 4. user context i.e. geography, user history, etc... 5. translation and internationalization 6. universal search
- And then Google fetches the results in fraction of seconds.
Find more about it over here http://www.google.co.in/insidesearch/howsearchworks/thestory/
What is Knowledge Graph?
Not sure what inspired Team Google to name there update hummingbird, whether it's humming birds speed of winking or there quest for nectar or the color radiance. As per Google's statement it the precision and speed!
How Hummingbird is going to help Google?
As per Google it will help them in conversational search. People, when speaking searches, may find it more useful to have a conversation.
“What’s the closest place to buy the latest Samsung Galaxy phone near my office?” A traditional search engine might focus on finding matches for words — finding a page that says “buy” and “Samsung galaxy,” for example.
Hummingbird may better understand the actual location of your office, if you’ve shared that with Google. It might understand that “place” means you want some store. It might get that “Samsung galaxy” is a particular type of electronic device carried by certain stores. Knowing all these meanings may help Google go beyond just finding pages with matching words.
As per Google, Hummingbird will give 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.
What users will get?
Definitly better and relevant results as per the user and query context.
What authors will get?
Content authors will be happy i.e. PageRank algorithm as it now come down to place from where search is getting initiated and more of context oriented.
Who are the non-beneficiary?
Malwares or people who use un-ethical means to rank their pages. Now everyone have to write high quality of content.
Who will be the beneficiary?
End users and Google!
It's a feature embedded into search in 2012 to enhance its search engines results with semantic search
information gathered from a wide variety of sources. Basically it's a Google enhancement for more effective user context, for example, if you search for 'Taj Mahal' in the Google, based on user context it will show you
- results for the monument 'Taj Mahal',
- all the details about Taj Mahal in the right side of the page,
- details about what other things people searched for when they searched Taj Mahal
- it will show other thing's with Taj Mahal i.e. the singer in US.
To know more on it, please visit: http://www.google.co.in/insidesearch/features/search/knowledge.html
What is Hummingbird?
Prior to Google's new algorithm, Hummingbirds are part of the Trochilidae family
found only in the Americas. They are unknown in the Eastern
Hemisphere.Most astonishing quality of hummingbirds is their ability to
broadcast color. Like soap bubbles, hummingbird's color comes
from iridescence. It winks on and off, depending on the
light source and the angle of the viewer. A Hummingbird's flight speed can average 25-30 mph, and can dive up to 60 mph. Hummingbirds may visit 1,000
flower per day in the quest of food.
Not sure what inspired Team Google to name there update hummingbird, whether it's humming birds speed of winking or there quest for nectar or the color radiance. As per Google's statement it the precision and speed!
How Hummingbird is going to help Google?
As per Google it will help them in conversational search. People, when speaking searches, may find it more useful to have a conversation.
“What’s the closest place to buy the latest Samsung Galaxy phone near my office?” A traditional search engine might focus on finding matches for words — finding a page that says “buy” and “Samsung galaxy,” for example.
Hummingbird may better understand the actual location of your office, if you’ve shared that with Google. It might understand that “place” means you want some store. It might get that “Samsung galaxy” is a particular type of electronic device carried by certain stores. Knowing all these meanings may help Google go beyond just finding pages with matching words.
As per Google, Hummingbird will give 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.
What users will get?
Definitly better and relevant results as per the user and query context.
What authors will get?
Content authors will be happy i.e. PageRank algorithm as it now come down to place from where search is getting initiated and more of context oriented.
Who are the non-beneficiary?
Malwares or people who use un-ethical means to rank their pages. Now everyone have to write high quality of content.
Who will be the beneficiary?
End users and Google!
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