An approach for learning resource recommendation using deep matrix factorization.
Tran Thanh DienNguyen Thanh HaiNguyen Thai-NghePublished in: J. Inf. Telecommun. (2022)
Keyphrases
- matrix factorization
- learning resources
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- cold start problem
- learning systems
- learning objects
- latent factor models
- learning experience
- e learning
- low rank
- learning styles
- cold start
- metadata
- recommendation systems
- nonnegative matrix factorization
- user preferences
- factorization methods
- web resources
- adaptive learning
- personalized recommendation
- rating prediction
- implicit feedback
- negative matrix factorization
- stochastic gradient descent
- factor analysis
- personalized ranking
- tensor factorization
- recommendation algorithms
- probabilistic matrix factorization
- missing data
- user profiles
- user interests
- high order
- transfer learning
- topic models
- binary matrix
- linear combination
- learning process
- reinforcement learning
- database