Google's Hummingbird Algorithm

 What is the Hummingbird Algorithm?

Google Hummingbird initial release date: August 20, 2013

Unlike the previously released "Panda Algorithm" and "Penguin Algorithm" updates. which were originally released as an add-on to Google's existing algorithm. the "Hummingbird Algorithm" has now been completely transformed into a core algorithm reference. although many of the previous The components remain, but the "Hummingbird Algorithm" shows that Google is beginning to gain insight into the searcher's "What was the intent of the query?" and match it with relevant results.

Google announced the "Hummingbird Algorithm" on September 26, 2013, but it has actually been implemented about a month ago. There doesn't seem to be a serious negative impact on the average website, and the update. which is largely explained as a major improvement in the accuracy of Google's database. is in preparation for the creation of the "Knowledge Graph", however regional SEO operators reasoned that , all search results are already documented in regional search engine results.

Knowledge Graph and Semantic Search

In order to fully understand the purpose behind the "Hummingbird Algorithm". it is most important to first understand the severe impact on search engine functionality: semantic search and knowledge graphs.

In the same year that the "Hummingbird Algorithm" was released. Google released the "Knowledge Graph": this is not a real graph, but some functions of the SERP. which are mainly used to provide quick queries for people, places and things for viewers. accurate answer.

When searching for "chocolate cookies" you can see the Knowledge Graph on the results page, the SERP contains standard human results and referrals to the appropriate website. but it also contains a rich set of Knowledge Graph information, including answers to recipes Box, for nutritional information about this dessert, put it in the knowledge panel on the right. along with more related suggestions and search topics.

How does Google determine that these search results reflect the searcher's intent and adequately meet their needs? This is where semantic search comes in.

Semantic search attempts to match the appropriate SERP (Search Results Page) to the language of the Internet user's query. spanning the meaning of a single keyword, even if the search user's intent is vague and unclear Thinking about the cause and effect, if you want to see a semantic search in progress. please review the "chocolate cookie" SERP (search results page) image above. Although the query is for the cookie itself, the semantic search will infer that the words used in the search (literally. it could mean a picture or a cookie), but the intent behind the search may differ from the text used, and Google additionally provides search results that may match the searcher's intent. not the key word, so we see SERPs (Search Results Pages) full of recipes, nutrition facts and other topics related to making or eating cookies.

Google's semantic search is getting stronger and stronger, they use their own way to understand the "connectivity of everything". relying on Google AI's technology. "Hummingbird Algorithm" focused on matching query cause and effect with results - "Intent" "Analytical ability.

Semantic search is a complex topic, here is another example from the web:

Imagine that a Google user enters or speaks the following keyword to query: [the most suitable place for Chinese people]. only by understanding the intent and context of this category of query , Google can label a "place" as a "restaurant", "China" is marked as a "category-specific restaurant".

Features of Hummingbirds

"Features of Hummingbird" 

Hummingbirds and Voice Search

In retrospect, the update to the "Hummingbird Algorithm" can be seen as an inevitable step in the evolution of Google's mastery of voice search. When the "Hummingbird Algorithm" was released in 2013. "voice search" was set off in the circle of SEO operators. Waves, in the rapid development of the past few years, the emergence of voice search forced Google to have the ability to fully understand natural language, using colloquial search. such as "Where is my favorite Mexican food cheapest?" or "I How to solve the leaking kitchen faucet?"

All in all, it is impossible to analyze "intent" just by understanding the keyword-by-keyword search language technology. Newer technology development such as semantic search and "hummingbird algorithm" can effectively operate in the world of natural language.

Hummingbirds and Local Search

While natural SEO operators struggled to understand the impact of the Hummingbird Algorithm on the general Internet, local SEO operators analyzed some of the changes felt after the update, and the original Hummingbird Algorithm appears to be in many local Search results that simply offer the unsatisfactory "one-box approach", e.g. a query like "Denver lawyers" will yield a single answer, rather than a typical set of local businesses, since such a "one-box approach" lends itself to By using fake business names (such as identifying themselves as "Denver Attorneys" instead of their real name "Jim Davis Law Firm"), instead of rewarding businesses that send spam that Google can't provide, more Good message and relevant experience to the user, this frustrating situation can finally be resolved.

Additionally, local SEO operators speculate that the Hummingbird Algorithm may have the following effects on local and local organic search results:

How do I know if I am penalized by the Hummingbird Algorithm?