Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model.
Cong TranJang-Young KimWon-Yong ShinSang-Wook KimPublished in: IEEE Access (2019)
Keyphrases
- user model
- collaborative filtering
- recommender systems
- user profiles
- user modeling
- user modelling
- user interests
- matrix factorization
- least squares
- user preferences
- data sparsity
- information filtering
- maximum likelihood
- individual user
- loss function
- cold start problem
- adaptive systems
- personalized recommendation
- information overload
- recommendation systems
- dialogue system
- probabilistic matrix factorization
- making recommendations
- domain independent
- model selection
- personalized services
- user profiling
- recommendation algorithms
- latent factor models
- transfer learning
- user interface
- user interaction
- product recommendation
- end users
- implicit feedback
- advisory systems