prakruti-joshi / Movie-Recommendation-System
Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.
☆31Updated 4 years ago
Alternatives and similar repositories for Movie-Recommendation-System:
Users that are interested in Movie-Recommendation-System are comparing it to the libraries listed below
- Basic Movie Recommendation Web Application using user-item collaborative filtering.☆218Updated 2 years ago
- Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory:…☆188Updated 8 months ago
- Movie Recommendation System using the MovieLens dataset☆19Updated 7 years ago
- Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings. These Rec…☆133Updated last year
- Movie Recommender System with Django.☆73Updated 8 months ago
- 4 different recommendation engines for the MovieLens dataset.☆431Updated 5 years ago
- Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques☆62Updated 4 years ago
- A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.☆37Updated 6 years ago
- Recommendation System using ML and DL☆485Updated 2 years ago
- This repository contains the code for building movie recommendation engine.☆76Updated 7 years ago
- Content based movie recommendation system with sentiment analysis☆95Updated last year
- Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning base…☆43Updated 6 years ago
- Movie recommendation system based on hybrid recommender and clustering☆12Updated 2 years ago
- A course recommendation system using the Coursera Courses dataset which contains over 3,000 courses.☆27Updated last year
- Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python☆57Updated 5 years ago
- A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews …☆567Updated 4 months ago
- Machine Learning Project☆61Updated 3 years ago
- The Movie Database for all language movies☆227Updated last year
- A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative fi…☆32Updated 6 years ago
- A repository for a machine learning project about developing a hybrid movie recommender system.☆40Updated 3 years ago
- From the Kindle Store Reviews on Amazon, sentiment analysis and book recommendation. Used Keras, FastText from Torch, and BERT. For recom…☆31Updated 4 years ago
- Implemented Using Machine Learning (K-Means Clustering Also) in Python☆15Updated 4 years ago
- A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering☆17Updated 6 years ago
- Hybrid Recommender System☆23Updated 3 years ago
- The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation…☆111Updated last year
- We used deep learning models on SparkML to create a hybrid recommender system that leverages both content and collaborative data.☆14Updated 5 years ago
- A simple Music Recommendation System☆50Updated 4 years ago
- Regression-based Movie Recommender system that's a hybrid of content-based and collaborative filtering Recommender system Simply rate som…☆15Updated 3 years ago
- A job recommendation system that recommends IT jobs to IT job seekers☆51Updated 4 years ago
- Implemented Content-based filtering, Collaborative filtering and K-Means Clustering on MovieLens Dataset(https://www.kaggle.com/rounakban…☆18Updated 6 years ago