Movie Recommendation Engine
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Updated
Dec 17, 2017 - JavaScript
Movie Recommendation Engine
android movie recommendations app
A recommendationn system for movies using Python and machine learning algorithms (k nearest neighbours, logistic regression). numpy. scikit-learn
Contains assignments, moocs, challenges, from recommendation engines, to deep learning
A lightweight recommendation engine for Ruby apps using Redis
Recommender system for food pairing
An anime recommendation engine powered by a pairwise similarity backend framework.
Using dataset from https://grouplens.org/datasets/movielens/ to build a recommendation system by KNN
EDA on a music dataset, followed by building a recommendation engine to be able to recommend songs given a set of songs.
This repository contain both Collaborative based movie recommendation system as well as Content based movie recommendation system
Implicit Collaborative Filtering based Recommendation Engine Implementation using LightFM along with REST API using django-restframework
FlaskFlow: Agile MLOps for Performance Recommendation Pipeline
This project is an web-based smart education system that uses one of three recommendation algorithms to suggest educational content to users. It's built for the Department of Computer Science, University of Benin, Nigeria.
Which movie should you watch tonight?
A recommender engine similar to those used by Netflix or Amazon.
Importer to convert data from the commercetools API to xml (product catalogs) and csv (purchases) files.
Evaluation Framework and Amazon DSSTNE
Maidenpool SDK for Frontend JavaScript Development.
This project is to analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles they might like. Recommending articles that are most pertinent to specific users is beneficial to both service providers and users.
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