Movie Website built on python Django framework; Uses Content Based Predictive Model approach to predict similar movies based on the contents/genres similarities

Collaborative Filtering NN and CNN based recommender implemented with MXNet

Recommendation System for Amazon Alexa E-Commerce Application

3rd Year: 1st - 92. A Novel Context Aware Restaurant Recommender System Using Content-Boosted Collaborative Filtering (CACBCF).

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

WP3 - Recommendation of Prioritized Requirements

Machine Learning Music Recommendation System: Hybrid Approach (Content & SVD) with Flask

A simple books recommender system that provides the functionality to ask for books recommendations or search for them using various options.

Anime recommender system for Anilist user profiles and individual titles

We create movie recommendation system through demographic filtering, content-based filtering, collaborative filtering, and hybrid engine.

Flight Booking Ticket (name: CaVi)

Recommendation Systems thesis. This repository contains the development of the evaluation of three recommendations system methods: Collaborative Filtering, Content Based and Hybrid.

An eCommerce website developed in the Django web framework. It implements a content-based filtering recommendation system based on the user usage history, user profile and item profile.

A library of recommender systems with collaborative, content-based filtering, and hybrid models.

Coursework solutions for a 3rd year Computer Science module on Recommender Systems @ Durham University. Aims to use machine learning methods to recommend films.

Recommender and Chatbot Systems

Repositório do artigo: http://seer.upf.br/index.php/rbca/article/view/10047

Team: SolveAI -> Solo Project - SheBuilds Hackathon.

A simple movie recommender system that uses two main approaches to make recommendations: Content-based algorithm and Collaborative filtering algorithm (User-based).

Content-based filtering recommender system using Spotify API. Built with Flask, deployed on Heroku as Docker container.