What is Semantic Search?
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What is Semantic Search?
Semantic search refers to Google's process of interpreting the context and intent of search queries rather than the verbatim text alone.Quote:
Originally Posted by warrantyau
Semantic search refers to Google's process of interpreting the context and intent of search queries rather than the verbatim text alone.
Semantic search is a data searching technique in a which a search query aims to not only find keywords, but to determine the intent and contextual meaning of the the words a person is using for search.
Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results.
Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words or variants of them, without understanding the overall meaning of the query.
Semantic search is when the search engines almost take things a step further to retrieve other relevant search results. It's the process of understanding the language you are using to identify other relevant search results.
Semantic search help to provide the best possible results for users enquiries.
Semantic search is a data searching technique in a which a search query aims to not only find keywords, but to determine the intent and contextual meaning of the the words a person is using for search.
Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results.
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Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words or variants of them, without understanding the overall meaning of the query.
Semantic search Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable data space, whether on the Web or within a closed system, to generate more relevant results.