https://github.com/mathusanm6/movie-recommendation-system

A machine learning project designed to provide personalised movie suggestions to users. It utilises a collaborative filtering approach, leveraging the K-Nearest Neighbors (KNN) algorithm to analyze and predict user preferences based on a dataset of user ratings and movie metadata.
https://github.com/mathusanm6/movie-recommendation-system

ai data-science knn machine-learning python python3 pytorch

Last synced: 3 months ago
JSON representation

A machine learning project designed to provide personalised movie suggestions to users. It utilises a collaborative filtering approach, leveraging the K-Nearest Neighbors (KNN) algorithm to analyze and predict user preferences based on a dataset of user ratings and movie metadata.

• Host: GitHub
• URL: https://github.com/mathusanm6/movie-recommendation-system
• Owner: mathusanm6
• Created: 2024-02-22T13:24:31.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-02-22T20:19:28.000Z (over 2 years ago)
• Last Synced: 2025-07-05T23:05:33.167Z (about 1 year ago)
• Topics: ai, data-science, knn, machine-learning, python, python3, pytorch
• Language: Python
• Homepage:
• Size: 3.56 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Movie-Recommendation-System

## Description

The Movie-Recommendation-System is a machine learning project designed to provide personalised movie suggestions to users. It utilises a collaborative filtering approach, leveraging the K-Nearest Neighbors (KNN) algorithm to analyze and predict user preferences based on a dataset of user ratings and movie metadata.

The dataset used for this project is from the GitHub Repository [ml-latest-small](https://github.com/smanihwr/ml-latest-small) by smanihwr.

The project is implemented in Python using the following libraries:

- Pandas

- Numpy

- Scikit-learn

- Fuzzywuzzy

## Context

This project serves as an extension to a presentation I delivered on "Recommender Algorithms, Netflix," which was part of a university course focused on pre-professional training. The attached [PDF file](recommendation-algorithms-netflix.pdf) contains the slides from that presentation, which are in French.

## Screenshots

```python

print(movie_recommender_engine("Jurassic Park", user_item_matrix, cf_model, n_recs))

```



  

  


  Similar to Jurassic Park






```python

print(movie_recommender_engine("Terminator", user_item_matrix, cf_model, n_recs))

```



  

  


  Similar to Terminator






```python

print(movie_recommender_engine("Forest Gump", user_item_matrix, cf_model, n_recs))

```



  

  


  Similar to Forest Gump