Recommender system based on collaborative filtering for Spotify’s users

Abstract:

In recent years, with the rise of streaming services like Netflix or Spotify, recommender systems are becoming more and more necessary. The success of Spotify’s Discover Weekly, a music recommender system that suggests new songs to users every week, confirms the need to implement these recommender systems. In this paper we propose a methodology based on collaborative filtering to recommend music for Spotify’s users from an ordered list of the most played songs over a period of time.

Año de publicación:

2017

Keywords:

Fuente:

scopus