It's a website that recommends books from database to users based on ratings given by other users. Two recommender models are built viz. 1) Popularity Based Recommender 2) Using Collaborative Filtering Algorithm

Recommender system from Yelp dataset

🦕 example of recon-engine

Blog with movie recommender system

This repository contains the code used during a Recommender Systems competition, which is part of the course of Recommender Systems at the Polytechnic University of Milan.

Netflix Clone Part-1

article recommendations for users of IBM Watson Studio Platform

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.

Recommendation System for IBM articles

Clean CaDET

I have created a book recommender system that recommends similar books to the reader based on his/her interest. This project shows results of collaborative and content-based filtering of the given dataset.

Vito Bellini

Using champion mastery data from Rot games API to visualize champion connections based on correlation metrics of compositional data in a network. Unsupervised learning was also used to categorize the champions. Lastly, weighted graph distance was used to make a recommender system for new champions based on played chamoions input.

This repository allows to simulate a Renewal competition

analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations on new articles they will like.

Un projet pour déplacer des données et construire un système de recommandation.

Personalized AI Lab

Recommend the medicines for a particular disease based on patient reviews and ratings

A Movie Recommendation Application written in Dropwizard

Build a recommendation system using IBM Watson Studio platform.