RankBrain is a machine learning-based search engine algorithm, the use of which was confirmed by Google on 26 October 2015. It helps Google to process search results and provide more relevant search results for users. In a 2015 interview, Google commented that RankBrain was the third most important factor in the ranking algorithm, after links and content, out of about 200 ranking factors whose exact functions are not fully disclosed. , "RankBrain was used for less than 15% of queries". The results show that RankBrain guesses what the other parts of the Google search algorithm will pick as the
RankBrain is a machine learning-based search engine algorithm, the use of which was confirmed by Google on 26 October 2015. It helps Google to process search results and provide more relevant search results for users. In a 2015 interview, Google commented that RankBrain was the third most important factor in the ranking algorithm, after links and content, out of about 200 ranking factors whose exact functions are not fully disclosed. , "RankBrain was used for less than 15% of queries". The results show that RankBrain guesses what the other parts of the Google search algorithm will pick as the top result 80% of the time, compared to 70% for human search engineers.
If RankBrain sees a word or phrase it is not familiar with, the program can make a guess as to what words or phrases might have a similar meaning and filter the result accordingly, making it more effective at handling never-before-seen search queries or keywords. Search queries are sorted into word vectors, also known as “distributed representations”, which are close to each other in terms of linguistic similarity. RankBrain attempts to map this query into words (entities) or clusters of words that have the best chance of matching it. Therefore, RankBrain attempts to guess what people mean and records the results, which adapts the results to provide better user satisfaction.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).