GOOGLE MAKES USE OF NEURAL NETWORKS AND THE NEURAL MATCHING ALGORITHM INTRODUCED IN THE LAST YEAR IS REALITY.

NEURAL MATCHING

Google Neural Matching is an algorithm that uses the latest AI and neural networks to understand and analyze the language in a very advanced way compared to the past. These innovations are some of the things on which Google has focused the most attention and with Google Assistant, for example, it has refined the real conversations, very useful for understanding the textual and vocal content and the training of deep neural networks.

NEURAL MATCHING AND RANK BRAIN. TWO VERY TIGHT COLLABORATORS.

At this point, you will wonder how the famous Rank Brain, introduced in 2015, and the neural matching neural networks introduced at the end of 2018 are integrated. Here is the answer:
Neural Matching, helps Google understand how words are related to research and SEO, Rank Brain allows the search engine to relate pages to concepts.

Google explained that "Neuronal correspondence is an AI-based system that Google started using in 2018 mainly to understand how words are related to concepts" and defined its Neural Matching in a way that everyone can understand. as a system of super synonyms.

THE NEURAL DATA

In recent months, Google has used neural correspondence and has assessed that Super synonyms, in a sense, account for 30% of the queries.

THE NEED FOR NEURAL MATCHING

One of the phrases that better understand the significant improvement in the search engine is Danny Sullivan's statement, which I translate to the letter:

"THE WAY THE PEOPLE LOOK FOR IS OFTEN DIFFERENT FROM THE INFORMATION WITH WHICH PEOPLE WRITE SOLUTIONS."