how neural matching can change seo content creation rules

By introducing algorithm based on convolutional neural network to better understand user intent, Google is taking step forward..   Covering 30% of search queries, the neural matching algorithm aims to match search queries and web pages.   being able to better understand concepts is important for Google's user experience.   I'm sure it's going to ring bell as document relevant ranking is using TF-IDF score and the similarity to match phrases in documents and needs expressed in search queries..   the ad hoc method is not sufficient.   Here the technique of intelligence unsupervised learning is used to move forward in the understanding from words to concepts..   We have already begun to see the We talk lot about intelligence and we now use some machine learning algorithms to better understand intricacies between SEO and data and then to better SEO decisions..   of view of synonym can still appear to be technique if it means including synonyms within the content..   The persistence of link-based connections between websites and penalties for synonym stuffing may hinder uninformed attempts to optimize for neural matching.   Alice is Customer Success Manager at OnCrawl, where she puts years of experience as SEO Manager to good use.   Read more