What is search relevance?

Factors include keyword matching, user intent, document quality, and the performance of underlying search algorithms and ranking models.

They use machine learning, natural language processing, and historical user behavior to assign relevance scores and rank content accordingly.

Yes, relevance is subjective and may vary based on context, search history, and personal preferences, which is why personalization matters.

By fine-tuning search algorithms, analyzing search metrics, and using tools like vector search and semantic search to better understand user intent.