Collaborative Filtering in Latent Space: A Bayesian Approach for Cold-Start Music Recommendation.
Menglin KongLi FanShengze XuXingquan LiMuzhou HouCong CaoPublished in: PAKDD (5) (2024)
Keyphrases
- cold start
- music recommendation
- collaborative filtering
- recommender systems
- matrix factorization
- data sparsity
- latent variables
- transfer learning
- user preferences
- recommendation systems
- user ratings
- implicit feedback
- personalized recommendation
- tag recommendation
- low dimensional
- recommendation algorithms
- user interests
- information overload
- dimensionality reduction
- high dimensional