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Using machine learning technique to recommend movie that user may interest.

License: MIT License

Jupyter Notebook 84.29% Python 15.71%
machine-learning python content-based-recommendation jupyter-notebook

similar-movies's Introduction

Similar Movies

After watching an interesting movie, I always looking some movies that may interest me like the movie I have just watched. I will apply machine learning to learn about the similarity of a movie to another. I hope the movie with highest similarity score will be the movie that interest me the most.

Requirements

This project run on python 3.x and Jupyter Notebook

Getting Started

Dataset

Download movies dataset from kaggle

Install

pip install -r requirements.txt

How to run

Follow notebook file solution.ipynb to understand how the solution work.

Demo

Run as a service api

python api.py
  • GET /movies
{"data": [{}, ...], "count": int, "start": int, "limit": int}
  • GET /movies/<id>
{"data": [{}], "similar-movies": [{}, ...]}

Run as a website

Comming soon

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