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How semantics impacts search results | Algolia

Blog post from Algolia

Post Details
Company
Date Published
Author
Catherine Dee
Word Count
1,241
Company Posts That Month
7
Language
English
Hacker News Points
-
Post removed?
No
Summary

Semantics is the study of meanings in language, focusing on word meanings, sentence structure, syntax, synonyms, and linguistic relationships. It has various subfields such as general semantics, formal semantics, linguistic semantics, lexical semantics, and search semantics. Semantic search is a form of data searching that uses AI to determine the meaning behind search queries and related content in order to provide accurate and personalized results. It applies user intent, context, and conceptual meaning to match a query with corresponding content using vector search and machine learning. Semantic search improves relevance, ranking, and overall searcher experience by eliminating irrelevant results.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 1 603 106 50 -25%
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