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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)
Propose and implement a machine learning pipeline that combines content-based and collaborative recommendation methods for a large-scale, personalized song recommendation system. The goal is to predict which songs that a user will listen to and make a recommendation list of 10 songs to each user, given both the user’s listening history and full …
Content-based filtering uses item features to recommend other items similar to what the user likes, based on their previous actions or explicit feedback. I have applied basic content-based recommendation system using python.