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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 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.
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
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.