Matrix Factorization Recommendation Algorithm Based on User Characteristics.
Hongtao LiuOuyang MaoChen LongXueyan LiuZhenjia ZhuPublished in: SKG (2018)
Keyphrases
- matrix factorization
- collaborative filtering
- recommendation algorithms
- recommender systems
- recommendation systems
- user preferences
- item recommendation
- cold start
- recommendation quality
- data sparsity
- low rank
- cold start problem
- factorization methods
- user ratings
- personalized recommendation
- nonnegative matrix factorization
- factor analysis
- negative matrix factorization
- probabilistic matrix factorization
- implicit feedback
- user profiles
- user model
- tensor factorization
- information overload
- user interests
- user feedback
- latent factors
- missing data
- information retrieval
- stochastic gradient descent
- transfer learning
- co occurrence
- multiscale
- search engine