Recently, the search engine giant Google upgraded its search algorithm and named it as “Hummingbird”. They believe, that doing so will make the replies, to the user query more precise and fast. On the contrary, “Why Google required a Hummingbird search algorithm?”. The searchers, usually, enter long and complex strings or questions as their query. Google wants to understand and answer the query very accurately, keep the response time low and provide the answers without allowing the user to leave the Google platform. The current age is the age of mobile, especially Smartphone. The Smartphone users prefer to voice searching option rather than a text searching option. Google wants to be the first in this race of voice searching, too.
A search algorithm, though a technical term, in a layman’s language, it can be considered as a magic wand which Google uses, to identify or sort the best information in response to the user provided query from the billions and trillions of information databases that it has. The new search algorithm moreover can be dubbed as a “Conversational Search” algorithm. Suppose you like to know “Which is the best place to buy a XYZ handset and is also near to your home?”. In case of a traditional search being performed on this query, the focus will be on finding and matching some of the queried words such as “XYZ handset”, “place” “buy” etc on a particular webpage. But in case of the Hummingbird, it will focus more on the meaning behind the words rather that the words itself; it will get hold of the exact location of your home, it will match the words, their meaning and your home location and then come up with the best possible result up to the mark.
Voice searches have become the best in thing nowadays, because of the increasing penetration of the Smartphones all over the world. Hummingbird is lightweight enough to be mobile-friendly. Now you can get simple and up to the point answers of the questions such as “What is Times Square”. Hummingbird is quiet question-oriented. It is also very semantic in its searches. Your queries in casual language are quiet well understood by hummingbird and it provides the best possible answers by taking into account factors like your search history, social media usage, your location etc. It is all about things and not just the strings. The answers to your query will be straight from the original source and not some random site. So after hummingbird the ownership of the information will matter a lot for the websites. Complex questions or abstract questions would now be easier for Google, to reply. The conceptual search ability of its new search algorithm has made Google more of a conversational friendly search engine.
After Hummingbird, using Google search engine on a mobile would be better, easier and friendly. Voice searches will increase in count. Day to day language would be used more in the Google queries and a better and exact reply would be available to such queries. As the queries will be more conceptual and semantic in nature, their answers will be based on the relationship among the concepts and locations of the things present in the user query. The content marketers would require an understanding of the questions, which their customers can ask and then they need to design the content with the best possible answer, across all the platforms which the customer may be able to access. Small businesses need to focus more on designing their websites and web content in such a manner that it is more mobile friendly. They need to focus on providing better and exact answers to the queries generated from voice searches. Their content should be surrounded around the day to day language and should be adaptable enough to complex queries. The content should be helpful, well defined in terms of ownership, and more of semantic in nature.
Thus, using the upgraded search algorithm, Hummingbird, Google will certainly try to compete with rival Apple Siri in the voice search market.