Kernel-Based Matrix Factorization With Weighted Regularization for Context-Aware Recommender Systems.
Vandana A. PatilSantosh V. ChapaneriDeepak J. JayaswalPublished in: IEEE Access (2022)
Keyphrases
- context aware
- matrix factorization
- recommender systems
- collaborative filtering
- stochastic gradient descent
- contextual information
- ubiquitous computing
- context awareness
- ambient intelligence
- low rank
- mobile devices
- data sparsity
- negative matrix factorization
- cold start problem
- probabilistic matrix factorization
- context aware systems
- nonnegative matrix factorization
- user preferences
- information overload
- regularization parameter
- factorization methods
- online learning
- personalized recommendation
- user context
- rating prediction
- item recommendation
- implicit feedback
- user modeling
- user model
- user profiling
- factor analysis
- context aware services
- context aware ubiquitous learning
- user profiles
- personalized services
- probabilistic model
- tensor factorization
- current context
- support vector machine
- mobile users
- kernel methods
- user behavior