Exploring playlist titles for cold-start music recommendation: an effectiveness analysis
In music recommender systems, automatic playlist continuation is an emerging task that
aims to improve users' listening experience by recommending music in line with their …
aims to improve users' listening experience by recommending music in line with their …
Alleviating the cold-start playlist continuation in music recommendation using latent semantic indexing
The cold-start problem is a grand challenge in music recommender systems aiming to
provide users with a better and continuous music listening experience. When a new user …
provide users with a better and continuous music listening experience. When a new user …
A hybrid recommender system for improving automatic playlist continuation
Although widely used, the majority of current music recommender systems still focus on
recommendations' accuracy, user preferences and isolated item characteristics, without …
recommendations' accuracy, user preferences and isolated item characteristics, without …
Machine learning approaches to hybrid music recommender systems
Music recommender systems have become a key technology supporting the access to
increasingly larger music catalogs in on-line music streaming services, on-line music shops …
increasingly larger music catalogs in on-line music streaming services, on-line music shops …
[PDF][PDF] A comparison of playlist generation strategies for music recommendation and a new baseline scheme
The digitalization of music and the instant availability of millions of tracks on the Internet
require new approaches to support the user in the exploration of these huge music …
require new approaches to support the user in the exploration of these huge music …
Related Rhythms: Recommendation System To Discover Music You May Like
R Singh, P Kanuparthi - arXiv preprint arXiv:2309.13544, 2023 - arxiv.org
Machine Learning models are being utilized extensively to drive recommender systems,
which is a widely explored topic today. This is especially true of the music industry, where …
which is a widely explored topic today. This is especially true of the music industry, where …
Music playlist continuation by learning from hand-curated examples and song features: Alleviating the cold-start problem for rare and out-of-set songs
Automated music playlist generation is a specific form of music recommendation. Generally
stated, the user receives a set of song suggestions defining a coherent listening session. We …
stated, the user receives a set of song suggestions defining a coherent listening session. We …
A hybrid two-stage recommender system for automatic playlist continuation
V Rubtsov, M Kamenshchikov, I Valyaev… - Proceedings of the …, 2018 - dl.acm.org
In this paper, we provide the solution for RecSys Challenge 2018 by our Avito team, which
obtained the 3rd place in main track. The goal of the competition was to recommend music …
obtained the 3rd place in main track. The goal of the competition was to recommend music …
Two-stage model for automatic playlist continuation at scale
Automatic playlist continuation is a prominent problem in music recommendation. Significant
portion of music consumption is now done online through playlists and playlist-like online …
portion of music consumption is now done online through playlists and playlist-like online …
A hybrid approach for item collection recommendations: An application to automatic playlist continuation
A Gkatzioura - 2018 - upcommons.upc.edu
Current recommender systems aim mainly to generate accurate item recommendations,
without properly evaluating the multiple dimensions of the recommendation problem …
without properly evaluating the multiple dimensions of the recommendation problem …