Neural matching is a key component of Google’s search algorithm, designed to improve how Google interprets and ranks search queries. Introduced in 2018, neural matching is a technique that uses deep neural networks to better understand the meaning behind search queries and match them to relevant content, even if the specific keywords don’t align perfectly. … Continue reading Neural Matching: Enhancing Google’s Search with Semantic Understanding