Mining intrinsic information by matrix factorization-based approaches for collaborative filtering in recommender systems.
Yangyang LiDong WangHaiyang HeLicheng JiaoYu XuePublished in: Neurocomputing (2017)
Keyphrases
- collaborative filtering
- matrix factorization
- recommender systems
- content based filtering
- information overload
- factorization methods
- data sparsity
- recommendation systems
- probabilistic matrix factorization
- latent factor models
- low rank
- user preferences
- missing data
- user interests
- negative matrix factorization
- implicit feedback
- cold start problem
- user similarity
- factor analysis
- personalized recommendation
- user ratings
- latent factors
- tensor factorization
- transfer learning
- text mining