Title: Building a website to search and recommendation movies

Team:

Võ Hà Nhật Tân - 18133047

Phạm Đình Nhiên - 18133038

List of project requirements:

Search and recommendation functions

Recommend movies that match the searched movie

Show detailed movie information, actors, reviews

Tools used: Python, Jupyter notebook, Front-end: HTML.

Algorithm to use: Content-based filtering, Matrix Similarity, Knn, search algorithm Okapi-BM25

How to install system

You are required to install these tools:

• MongoDB ver:1.29.6
• Python ver:3.8
• Python Library in requirement.txt
• If you want to see our recommendation algorithm simulation install anaconda Jupyter notebook

Prepare:

• Clone this project
• Download File Posters in https://github.com/vohanhattan/RecommendationSystem/tree/main/backup and extract to ./movieseach/static
• Download File nlkt_data in https://github.com/vohanhattan/RecommendationSystem/tree/main/backup extract to C:\ or D:\
• Download Review file aclImdb in https://github.com/vohanhattan/RecommendationSystem/tree/main/backup extract to ./movieseach/utils/
• Extract file movie csv in /utils/movies
• You need to install the necessary libraries pip install -r requirement
• You should upload_movies and upload_reviews (run file python in ./moviesearch/utils)
• You can upload movie, delete, edit by run file menu.py in ./moviesearch/utils base on add_movie.csv

Run Project:

• Run server: python main.py runserver
• http://localhost:8000/