Kamal2511/Movie-Recommender-System
Built a movie recommender system with Streamlit and deploy in Heroku Platform.
This tool helps movie enthusiasts discover new films based on their past preferences. You input a movie you like, and it suggests other movies with similar genres, directors, actors, and descriptions. It's designed for anyone who enjoys watching movies and wants personalized recommendations.
No commits in the last 6 months.
Use this if you want to find new movies that align with your taste, based on films you've already enjoyed.
Not ideal if you're looking for recommendations based on what's trending or what your friends are watching.
Stars
8
Forks
5
Language
Jupyter Notebook
License
—
Category
Last pushed
Dec 09, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Kamal2511/Movie-Recommender-System"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
asif536/Movie-Recommender-System
Basic Movie Recommendation Web Application using user-item collaborative filtering.
victorverma3/Letterboxd-Movie-Recommendations
Generate AI-powered movie recommendations, discover insightful profile statistics, pick movies...
snowch/movie-recommender-demo
This project walks through how you can create recommendations using Apache Spark machine...
kishan0725/AJAX-Movie-Recommendation-System-with-Sentiment-Analysis
A content-based recommender system that recommends movies similar to the movie the user likes...
skotz/cp-user-behavior
Recommendation engine using collaborative filtering and matrix factorization