April 1, 2024, 10:28 a.m. | Richard Shaju

DEV Community dev.to

Cosine similarity is a metric used to measure the similarity between two vectors in a multidimensional space. It is widely used in various fields including natural language processing, information retrieval, and machine learning.


I'll be sure to break it down for you.


To make it simple consider two documents. If one document mentions Tesla many times but does not mention Ford, then we can infer that the document is about Tesla and vice versa.



Consider these two documents.


How can …

break it down computerscience cosine document documents fields information language language processing machine machine learning mathematics multidimensional natural natural language natural language processing processing retrieval simple space tesla vectors

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Robotics Technician - 3rd Shift

@ GXO Logistics | Perris, CA, US, 92571