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.

✨ Recommendation Systems Using Diverse Techniques ✨

✨ Recommendation Systems Using Diverse Techniques ✨

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.

Streamlit Restaurant Recommender

A hybrid content-based and collaborative filtering movie recommender system built using Python and Jupyter. Notebook. Designed for showcasing recommender system skills and end-to-end ML workflow.

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.

This is an extension project to Movie-Recommendation-System https://github.com/yash1th-yerra/Movie-Recommendation-System.

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

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

Système de recommandation

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

Chatbot Based Song Recommender

Implementation of recommendation system