Improving a recommender system by collective matrix factorization with tag information.
Bu Sung KimHeera KimJaedong LeeJee-Hyong LeePublished in: SCIS&ISIS (2014)
Keyphrases
- recommender systems
- matrix factorization
- tag information
- collaborative filtering
- latent factor models
- data sparsity
- low rank
- factor analysis
- factorization methods
- negative matrix factorization
- user preferences
- user profiles
- nonnegative matrix factorization
- user ratings
- user feedback
- implicit feedback
- probabilistic matrix factorization
- search engine
- recommendation systems
- object recognition
- missing data