Semantic Search
Semantic search is a data searching technique in which a search query aims to not only find keywords, but to determine the intent and contextual meaning of the words being searched for. It involves understanding the relationships between words and the context in which they are used in order to provide more relevant search results. Semantic search uses natural language processing (NLP) and machine learning algorithms to analyze and understand the meaning of words and phrases, and to identify the relationships between them. This allows search engines to provide more accurate and personalized results, even when the search query is ambiguous or complex. Semantic search is becoming increasingly important as the amount of data available on the internet continues to grow, and as users demand more sophisticated and personalized search experiences.
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