Google has launched Hummingbird, the new and improved search algorithm that improves the results compared to more complex queries, in commemoration of its 15th anniversary. Also showed improvements and new features in mobile products.
"Hummingbird" can make us think that has to do with the speed of indexing and display of results for that the movement of the wings of a hummingbird, but the truth is it has to do with understanding and improving the search results compared to more complex and lengthy user queries. Google has said that they have named "accurately and quickly."
Amit Singhal, senior vice president of search, said Thursday that the algorithm Hummingbird had been released a month ago and which affected 90% of searches worldwide. He reviewed as Internet searches have changed and hence the need to change the algorithm seems that user queries are more and more complex chains and algorithms so far based on Boolean or keywords are outdated and deteriorated .
Amit said that Caffeine was a big change that improved the speed of compilation or indexing of the information but not the relevance or ranking and perhaps since 2001 had not rewritten the algorithm. Panda and Penguin filters were not necessary for changes but the age of the algorithm, hummingbird is a total change of the algorithm obviously still using those filters.
Amit said that Caffeine was a big change that improved the speed of compilation or indexing of the information but not the relevance or ranking and perhaps since 2001 had not rewritten the algorithm. Panda and Penguin filters were not necessary for changes but the age of the algorithm, hummingbird is a total change of the algorithm obviously still using those filters.
One of the improvements is " conversational search "the hummingbird is composed of new technologies that can understand natural language issues resulting from a natural question. This means that when we do a voice search context is longer and in a natural way as much as a normal conversation.
Google is preparing for something said in a clinicseo (can not remember which) on a long tail work longer and adapting natural for voice search results, you certainly could alter these results by the length and complexity semantics same, some looked puzzled me and told me that's what the semantic algorithm was ready ... it seems that time has given me the right and Amit Singhal as reported by the algorithm we had was old and was not prepared for it.
For example if you search by voice as:
Where do most valued Calzone pizza closer to my house ?
Google to date which were interpreted matching keywords and offered the results referring to these keywords as: Pizza - Calzona.
Also the Knowledge Graph highlighting the different possibilities of a search and learned from user clicks specifying getting better results. The hummingbird seems to be the next logical step for the Knowledge Graph to enable understanding of the multiple factors.
Where do most valued Calzone pizza closer to my house ?
Google to date which were interpreted matching keywords and offered the results referring to these keywords as: Pizza - Calzona.
Also the Knowledge Graph highlighting the different possibilities of a search and learned from user clicks specifying getting better results. The hummingbird seems to be the next logical step for the Knowledge Graph to enable understanding of the multiple factors.



