Music Recommander using Implicit Library
I want to build a music recommender predicting the number of times a user will listen to a song. I am using the Implicit library and following this close example : https://github.com/benfred/implicit/blob/main/examples/tutorial_lastfm.ipynb
I wanted to know how can I predict the number of plays for a given user for a specific song, all I can see there and in the documentation is to recommend songs to a given user with scores of proximity but without giving the actual prediction
Topic python recommender-system machine-learning
Category Data Science