Google search indeed uses deep learning since it is powered by Artificial Intelligence (AI) but that does not mean the Google Search Engine is an AI. Moreover, the search engine has always been driven by systems of algorithms that generate an answer to each query automatically. These systems of algorithms resulted in a set of definite rules. A group of engineers from Google could at any time change and redefine these rules. The company incorporated its search engine with deep learning hence these algorithms did not learn on their own.
For clarity, deep learning is basically a section of how Google Search functions. About 15 percent of Google’s daily inquiries are handled by RankBrain. RankBrain is the most popular machine learning tool that Google uses. This machine learning engine is capable of assessing the words and phrases that make up a search query and determining whether additional words and phrases have similar meanings.
Initially, Google’s algorithm was coded by hand before RandBrain was introduced. Query results were analyzed by a group of engineers who also ran tests to ensure quality results are produced. RankBrains is known for solving tricky problems that Google was facing when using traditional algorithms. There has been a reduction in manual labor since search engines are capable of teaching techniques on how to run predictions.
Yes, Google search uses deep learning in various aspects. One of the key components is RankBrain, which is a machine learning system that helps to improve search results. RankBrain uses deep learning algorithms to understand the meaning of search queries and match them with relevant search results. It is capable of understanding the context and intent behind user queries, even if they are ambiguous or have never been encountered before.
Deep learning also plays a role in other areas of Google search, such as image recognition and natural language processing. For example, Google can recognize objects, faces, and landmarks in images and provide relevant search results based on those visual cues. Additionally, deep learning is used to understand and interpret the natural language in websites and documents, which helps in generating more accurate search results.
Overall, deep learning is an important part of Google search, enabling the search engine to continuously improve its understanding of user queries and deliver more relevant and useful results.