https://youtu.be/7hQhPMPNY6A

Bulbul is a Music Recommendation and Streaming Platform that uses graph algorithms to provide highly personalized music recommendation and music discovery system

Hotel Recommendation system based on Content, Collaborative, Social Network Based Systems

The second project of the EPFL Machine Learning course, which aims to construct a Recommender System with good predictive performance using various Machine Learning Algorithms. (2018-2019)

Recommendation system for the jester (joke) dataset using collaborative filtering and K-means clustering algorithms.

A Python-based DS8001 course project that compares content-based, collaborative, popularity-based, hybrid, and SVD recommendation systems using real-world movie data from Kaggle, with a focus on empirical evaluation and performance analysis.

A Collaborative Filtering based recommendation system for amazon electronic products

Movie Recommendation System - R

Hybrid music recommendation system that recommends Spotify playlists based on the user's inputted playlist. Note: inputting a playlist url would require user to give their own spotify api key, but it is doable. For the sake of simplicity, user inputs are limited to a demo and/or whatever tracks available in the lyrics data.

In this project, with Pearson correlation, book recommendation algorithm builded to make recommendation between users by their ratings.