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Semantic search
NLP (Natural Language Processing) is a key semantic search component, which helps the search engine grasp the deeper meaning of terms and products. Machine learning (ML) refines this by using data and trial-and-error patterns to enhance user experience.
The primary goal of semantic search is to improve the user's experience by providing the most relevant results based on their needs. Semantic search ranks results in order of relevance by understanding the query context.
Semantic search greatly enhances search experiences for companies and customers, especially benefiting large businesses and B2B distributors with extensive product catalogs. Implementing advanced technologies like Bloomreach Discovery improves the customer journey, boosting revenue and ensuring quick ROI.