An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

🎥 Everything about your movies within the command line.

🍃 Recommender System in JavaScript for the MovieLens Database

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

Basic Movie Recommendation Web Application using user-item collaborative filtering.

使用机器学习算法的电影推荐系统以及票房预测系统

Personalized real-time movie recommendation system

Awesome Movies

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses.

Movie recommender system with Collaborative Filtering using PySpark

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

The Indian Movie Database - An initiative to curate a well structured database for Indian movies

Data pipeline performing ETL to AWS Redshift using Spark, orchestrated with Apache Airflow

Implementation of movie recommendation system using C

Finding movies to watch on the internet is easy, finding GOOD movies to watch is hard. Let Nephele, the greek nymph of the clouds, help you.

Content based movie recommendation system with sentiment analysis

Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning based recommendation systems

Movie Recommendation System using the MovieLens dataset

Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference

Job Recommender , MovieLens

Retrofit has been Handled !! || Consumable code for request Public API (TMDb API) || 📚 🎥

电影推荐系统

🙊 大数据过滤推荐引擎 包含电影展示和基于Spark的电影推荐引擎

Movie recommender using RxJS

An on-line movie recommender using Spark, Clojure Luminus, and the MovieLens dataset

Basic of Recommendation Models

User Based Movie Recommendation System based on Collaborative Filtering Using Netflix Movie Dataset

Python Server and Android App for Movie Recommendation based on user sortings