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vector similarity execution time with cosine and jaccard methods are analyzed

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Project Title

Similarity function execution time

Description

Similarity function execution speed is analyzed based on Cosine function with different calculations scenarios. Also, Jaccard method is compared to them. For cosine similarity, we have simple calculation, dot product version and also dot product from Numpy library. Execution time is averaged over some number of iterations and final results for different mehtods are compared graphically through some figures.

Getting Started

Dependencies

  • Code is written by jupyter notebook on Win10
  • Required libraries are listed in first code segment

Installing

Executing program

  • In jupyter notebook every code segment is easily executed with shift+Enter
  • In other python interpreters you can use .py version

Help

For any kinds of issues, feel free to contact me via email

Authors

Mohammadreza Asadi

mrrasadi@gmail.com

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vector similarity execution time with cosine and jaccard methods are analyzed

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