GOOGLE MAKES USE OF NEURAL NETWORKS AND THE NEURAL MATCHING ALGORITHM INTRODUCED IS REALITY.
THE NEURAL MATCHING
Google’s Neural Matching is an algorithm that uses the latest AI technologies and neural networks to understand and analyze language in a much advanced way than in 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 real conversations, very useful for understanding text and voice content and trainingdeep neural network.
NEURAL MATCHING AND RANKBRAIN. TWO VERY CLOSE 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 integrate. Here is the answer:
Neural Matching helps Google understand how words are related to searches, while Rank Brain allows the search engine to relate pages to concepts.
In fact, Google explained that “Neuronal matching is an AI-based system that Google started using in 2018 mainly to understand how words are related to concepts” and defined, in a way that everyone can understand, its own Neural Matching as a system of super synonyms.
THE NEURAL DATA
Google has used neural matching, and has estimated that Super synonyms, in a sense, affect 30% of queries.
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 literally:
“THE WAY PEOPLE SEARCH IS OFTEN DIFFERENT FROM THE INFORMATION PEOPLE WRITE IN SOLUTIONS.”
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