Sign Up to like & get
recommendations!
0
Published in 2018 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2018.2844736
Abstract: Most of the existing music recommendation systems use collaborative or content based recommendation engines. However, the music choice of a user is not only dependent to the historical preferences or music contents. But also dependent…
read more here.
Keywords:
recommendation;
music recommendation;
emotion based;
music ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3146968
Abstract: In recent years, we have witnessed an ever wider spread of multimedia streaming platforms (e.g., Netflix, Spotify, and Amazon). Hence, it has become more and more essential to provide such systems with advanced recommendation facilities,…
read more here.
Keywords:
recommendation;
recommendation via;
hypergraph embedding;
music recommendation ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2022 at "Computational Intelligence"
DOI: 10.1111/coin.12501
Abstract: Automatic music recommendation is an open research problem that has seen much work in recent years. A common and successful music recommendation approach is collaborative filtering, which has worked well in this domain. One major…
read more here.
Keywords:
information;
music;
recommendation;
self attentive ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0217389
Abstract: Relevance Popularity-based approaches are widely adopted in music recommendation systems, both in industry and research. These approaches recommend to the target user what is currently popular among all users of the system. However, as the…
read more here.
Keywords:
music mainstream;
music;
country;
music recommendation ... See more keywords