Carousel Personalization in Music Streaming Apps with Contextual Bandits
Carousel Personalization in Music Streaming Apps with Contextual Bandits – RecSys 2020
This repository provides Python code and data to reproduce experiments from the article Carousel Personalization in Music Streaming Apps with Contextual Bandits published in the proceedings of the 14th ACM Conference on Recommender Systems (RecSys 2020 – Best Short Paper Candidate).
Carousel Personalization
Media services providers, such as the music streaming platform Deezer, often leverage swipeable carousels to recommend personalized content to their users. These carousels are ranked lists of L items or cards from a substantially larger catalog (of size K), e.g. L albums, artists or playlists recommended on the homepage of the Deezer app. Only a few cards, say L_init < L, are initially displayed to users, who can swipe the screen to see