This is a hybrid recommender system that combines the paradigms of content based filtering(using gradient boosting regressor) and collaborative filtering to recommend destination spots for users/tourists based on their demography and spots liked by tourists with similar demography and likes.

This is an app for collaborative and hybrid filtering using multiple csv data a model is trained and a flask is used for the web representation of model

A Recommendation system for Animated shows

This is a project in recommendation system using content-based-filtering for the big data course, in which implementation of ml mode and web interface is done.

project modeling untuk sistem rekomendasi berbasis bahasa python dengan menggunakan methode hybrid filtering

Chatbot Based Song Recommender

Implementation of recommendation system

A one-stop site for discovering and getting recommendations on Movies & TV Shows.

Build a personalized Music Recommendation System using Spotify API and Python. The system uses content-based and hybrid filtering to suggest songs based on user preferences, enhancing the music discovery experience.

Système de recommandation