Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model.
Cong TranJang-Young KimWon-Yong ShinSang-Wook KimPublished in: CoRR (2019)
Keyphrases
- user model
- collaborative filtering
- recommender systems
- user profiles
- user modeling
- user modelling
- user interests
- matrix factorization
- least squares
- loss function
- user preferences
- information filtering
- data sparsity
- cold start problem
- maximum likelihood
- recommendation systems
- user profiling
- personalized recommendation
- transfer learning
- individual user
- implicit feedback
- content based filtering
- information overload
- user actions
- adaptive systems
- user feedback
- domain independent
- personalized search
- personalized services
- model selection
- probabilistic matrix factorization
- advisory systems
- recommendation algorithms
- user interface
- pearson correlation coefficient