GitHub / zhiranchen / Recommendation-System-with-Million-Song-Dataset

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 information (including meta-data and audio feature analysis) for all songs.

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Topics: ml, python, recommender-systems

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