Movie-Recommender

This project implements a movie recommender system using Apache Spark and PySpark, focusing on calculating movie similarity based on user ratings. The system leverages Pearson correlation to measure the similarity between movie pairs, providing recommendations based on a specified movie.

distributed-database

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2 Stars

0 Forks

1 Watchers

Python Language

22.1 SrcLog Score

Cost to Build

$500

Market Value

$500

How is this calculated?

Growth over time

1 data points · 2026-09-23 → 2026-09-23

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What is the Saurav-VK/Movie-Recommender GitHub project? Description: "This project implements a movie recommender system using Apache Spark and PySpark, focusing on calculating movie similarity based on user ratings. The system leverages Pearson correlation to measure the similarity between movie pairs, providing recommendations based on a specified movie.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone Movie-Recommender

Clone via HTTPS

git clone https://github.com/Saurav-VK/Movie-Recommender.git

Clone via SSH

[email protected]:Saurav-VK/Movie-Recommender.git

Download ZIP

Download main.zip

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Report bugs or request features on the Movie-Recommender issue tracker:

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