Google Ranking Algorithm Research Introduces TW-BERT

Google announced a remarkable ranking framework called Term Weighting BERT (TW-BERT) that improves search results and is easy to deploy in existing ranking systems. TW-BERT has many co-authors, among them is Marc Najork, a Distinguished Research Scientist at Google DeepMind and a former Senior Director of Research Engineering at Google Research. Query Expansion is a process that restates a search query or adds more words to it (like adding the word “recipe” to the query “chicken soup”) to better match the search query to documents. In the absence of official confirmation, we can only speculate about the likelihood that TW-BERT is a part of Google’s search ranking algorithm. Read the original research paper:End-to-End Query Term Weighting (PDF)Google Research Webpage:End-to-End Query Term WeightingFeatured image by Shutterstock/TPYXA Illustration