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Google Humming Bird Update



Humming Bird Update


Launch Date: - 20 August 2013

The update name ‘humming bird’ derived from speed and accuracy of humming bird. The objective of Google humming bird update is to understand user search queries and provide better, quick and accurate results to them. It basically focused on the actual meaning behind the user queries. It helps in ranking those WebPages which are relevant matches with user queries.
Humming bird update can rank a webpage even if it does not contain exact keywords through language processing system that relies on keywords synonyms, LSI (latent semantic indexing)
The new search algorithm Google "Hummingbird" aims to better interpret the search requests of users and, therefore, to further increase the quality of search results.
It is assumed that the code name "Hummingbird" indicates that the search results will be fast and accurate.
The name comes from being precise and fast. Amit Singhal, Google Software Vice President.
The new search algorithm can (better) interpret the search query as a whole, instead of searching only individual words in the search query. This allows Google to (better) understand the intent behind a user's search request, as well as the focus / context of a full-text document (for example, a website). Both factors focus on an improved version of the search results.

The hummingbird affects all types of inquiries we receive, but it is much more effective in the lengthy consultations we receive now.
Hummingbird pays more attention to each word of a query, ensuring that the entire query, phrase, conversation, or meaning is taken into account, rather than particular words. The goal is that the pages corresponding to the meaning work better, rather than the pages containing only a few words. Danny Sullivan, founding editor of Search Engine Land

How do you know that the update of Hummingbird works?

According to Google, the update of Hummingbird should in particular improve the conversational search, which uses your voice to define the search query. For verbal search requests, the user's complete search request (the spoken sentence) is also interpreted at a higher level and more relevant results are returned. This means that search results are sorted differently than before, giving more accurate answers.

Hummingbird facilitates complex queries, but also covers over 90% of searches worldwide. - Amit Singhal , Google Software Vice President
Google Hummingbird and semantic search

At the heart of the hummingbird is the very important concept of semantics or meaning. Even the most stylish computers are still pretty stupid. Although it is easy for humans to distinguish between two different but similar concepts (because of the context), computers can only do so if explicit instructions are provided. Stupid computers

Semantic research is the concept of improving the results of research by focusing on the intent of the user and on how the subject of a search is related to other information in the broadest sense, or their contextual relevance. Essentially, semantic search focuses on determining the real meaning of a user, rather than on a string of keywords, and then obtaining relevant results.

For example, if a user searches on the term "weather", it is much more likely that he is looking for a forecast for his area, not an explanation of the science or history of meteorology.


Google's algorithm can not be absolutely sure of what I want, so to be sure, it gives me a variety of results. Google offers a local forecast (although this search was done in a private browsing window, it still follows my location), a link to Weather Channel, a Wikipedia page for the term "weather" and some other information. Still, the importance of local forecasting data in Knowledge Graph speaks volumes about Google's confidence in its results.




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