Five-Factor Musical Preference Prediction for Solving New User Cold-Start Problem in Content-Based Music Recommender System.
Keisuke OkadaTan Phan-XuanEiji KamiokaPublished in: IISA (2021)
Keyphrases
- cold start problem
- recommender systems
- music recommendation
- cold start
- user preferences
- collaborative filtering
- matrix factorization
- information filtering
- content based filtering
- collaborative recommendation
- data sparsity
- music retrieval
- music information retrieval
- prediction accuracy
- personalized recommendation
- information overload
- implicit feedback
- music composition
- recommendation systems
- digital music
- audio content
- automatic music genre classification
- user profiles
- multimedia
- user model
- optical music recognition
- genre classification
- user generated content
- audio signal
- user ratings
- user feedback
- relevance feedback
- image retrieval