Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization.
Ignacio Fernández-TobíasIván CantadorPaolo TomeoVito Walter AnelliTommaso Di NoiaPublished in: User Model. User Adapt. Interact. (2019)
Keyphrases
- matrix factorization
- cold start
- item recommendation
- cross domain collaborative filtering
- recommender systems
- cold start problem
- collaborative filtering
- data sparsity
- implicit feedback
- user ratings
- user preferences
- personalized recommendation
- tag recommendation
- user profiles
- recommendation algorithms
- missing data
- tensor factorization
- recommendation systems
- data sparseness
- latent factors
- supervised learning