Search queries do not have to be unambiguous

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Semantic search refers to the activity in which a search engine tries to provide the most accurate results in the SERP based on understanding the search intent, the context of the search query, and the relationship between words.

Olaf Kopp explains in the article " Google's journey to a semantic search engine ": "A semantic search engine takes into account the context of a search query to better understand the meaning of the search term. Unlike search systems based solely on keywords, the goal of semantic search is to better interpret the meaning, or intent, of the search query and the relevance of documents."

People ask questions in different ways, choose different ways of expressing themselves, and use different tones.
It is necessary to understand the relationships tajikistan email list between words.
Relationships between entities, personal choice, and relationships are also very important. Simply put, semantic search tries to understand natural language in the same way that humans understand it .

Semantic search also allows Google to distinguish between different entities (people, places, and things) and interpret searcher intent based on various factors, including:

search history,
user location,
global search history,
spelling variants.
Knowledge Graph: “Things, not strings of words”