Semantic search is a technology that helps search engines understand the user’s intent. It is the capability of search engines to show results other than the exact words in the query. This technology is integrated into search engines to improve the quality of searches and results, making it easier for the search engine to interpret natural language more accurately.
Semantic search achieves this accuracy with the help of machine learning and artificial intelligence. This is one of the ways AI is making technological advancements in the world. With semantic search, search engines can better understand the context of queries.
For example, if you search for “restaurants,” the search engine will show you the options in your area. The semantic search leverages users’ past search history to generate related results.
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