Google BERT update
The Google BERT update is a major update to the algorithm Google uses to rank search results. BERT stands for Bidirectional Encoder Representations from Transformers. It is an advanced neural network model designed to better understand the context of words in searches. The BERT update aims to make search results more relevant by taking into account the full sense and meaning of each word, rather than just individual search terms. It focuses on understanding natural language and context, including nuances and ambiguities.
How BERT affects searches
With the BERT update, Google can better understand what users mean by their searches and better assess the relevance of Web pages. This means that websites with quality content and valuable information can perform better in search results. Overall, the Google BERT update is intended to provide users with better and more relevant search results, allowing them to find the information they are looking for faster.
