abd1007/Movie-Recommendation-System-Web-Application
Building a Movie Recommendation System web application using Django framework and Collaborative Filtering technique
Implements matrix factorization for collaborative filtering to decompose user-item rating matrices and predict preferences based on latent factors. The application provides a full user workflow—rating movies, receiving personalized recommendations, and browsing results—backed by NumPy and Pandas for numerical computation on SQLite data. Built with Django's ORM and template system, it integrates Bootstrap for responsive UI across recommendation, rating, and discovery pages.
No commits in the last 6 months.
Stars
80
Forks
39
Language
HTML
License
Apache-2.0
Category
Last pushed
Feb 07, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/abd1007/Movie-Recommendation-System-Web-Application"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
Sundar0989/Movie_Bot
https://youtu.be/7hQhPMPNY6A
bakdata/conversational-search-bot
Conversational search bot for book and movie recommendations
atishaye/Video-Recommendation-System
Get your favorite videos recommended by a Graph Database powered application based on the...
0x0addc001/MOOC-ABSA-REC-SYS
MARS: Sentiment Analysis Based MOOC Recommendation System(基于评论方面级情感分析的慕课推荐系统)
EricPostMaster/fortune-cookie-movies
Web app that imagines how much cooler fortune cookies would be if the messages inside were movie...