An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems.
Xin LuoMengchu ZhouYunni XiaQingsheng ZhuPublished in: IEEE Trans. Ind. Informatics (2014)
Keyphrases
- negative matrix factorization
- matrix factorization
- collaborative filtering
- recommender systems
- nonnegative matrix factorization
- low rank
- data sparsity
- cold start problem
- tensor factorization
- user preferences
- probabilistic matrix factorization
- sparse representation
- recommendation systems
- recommendation quality
- implicit feedback
- latent factor models
- personalized recommendation
- user ratings
- cold start
- recommendation algorithms
- spectral clustering
- data analysis
- information retrieval
- product recommendation
- natural language processing
- content based filtering
- collaborative filtering algorithms
- digital libraries
- netflix prize
- image processing