AI & Machine Learning

Introduction to Semantic Search

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Google uses semantic search to understand user intent, ensuring that searches for "football" yield soccer results in the UK and NFL results in the US. This technology employs vector embeddings to provide contextually relevant answers, enhancing personalization and customer satisfaction in applications like AI-driven customer service. Developers should watch how advancements in NLP models improve semantic search capabilities further.

Read the full article at Towards AI - Medium

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