Movie Recommendation System

Movie Recommender System

Table of Content

• Overview
• Demo
• Architechture
• Installation
• Directory Tree

Overview

The purpose of a recommendation system basically is to search for content that would be interesting to an individual. Moreover, it involves a number of factors to create personalised lists of useful and interesting content specific to each user/individual. Recommendation systems are Artificial Intelligence based algorithms that skim through all possible options and create a customized list of items that are interesting and relevant to an individual. These results are based on their profile, search/browsing history, what other people with similar traits/demographics are watching, and how likely are you to watch those movies.

About this project:

This is a streamlit web application that can recommend various kinds of similar movies based on an user interest.

Demo:

App Link

Architechture

Dataset

• Dataset link

Installation

STEPS:

Clone the repository

https://github.com/dipesg/Movie-Recommendation-System.git

Create a conda environment after cloning the repository in a particular folder

conda create -n venv python=3.7 -y

Activate environment

conda activate venv

Install the requirements

pip install -r requirements.txt

run this file to generate the pickle file.

generetingEmbedding.py

Now run following command in command prompt to run app

streamlit run app.py

Author: Dipesh Silwal
Email: [email protected]

Directory Tree

Technologies Used