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Implement Cosine Similarity Function for String Vectors

Last updated: Mar 29, 2026

Quick Overview

This question evaluates understanding of vector-space similarity and text representation by asking for a cosine similarity computation over string-derived vectors, testing coding and algorithmic skills relevant to data science and text processing.

  • Medium
  • Shopify
  • Coding & Algorithms
  • Data Scientist

Implement Cosine Similarity Function for String Vectors

Company: Shopify

Role: Data Scientist

Category: Coding & Algorithms

Difficulty: Medium

Interview Round: Technical Screen

##### Scenario Technical phone screen in Python; assess ability to implement similarity metric. ##### Question Implement a Python function that computes the cosine similarity between two strings (treat each string as a bag-of-words vector). ##### Hints Tokenize, count word frequencies, form vectors, dot product divided by magnitudes; handle empty inputs.

Quick Answer: This question evaluates understanding of vector-space similarity and text representation by asking for a cosine similarity computation over string-derived vectors, testing coding and algorithmic skills relevant to data science and text processing.

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Shopify
Aug 4, 2025, 10:55 AM
Data Scientist
Technical Screen
Coding & Algorithms
8
0
Scenario

Technical phone screen in Python; assess ability to implement similarity metric.

Question

Implement a Python function that computes the cosine similarity between two strings (treat each string as a bag-of-words vector).

Hints

Tokenize, count word frequencies, form vectors, dot product divided by magnitudes; handle empty inputs.

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