User recommendation in online health communities using adapted matrix factorization.
Hangzhou YangHuiying GaoPublished in: Internet Res. (2021)
Keyphrases
- matrix factorization
- collaborative filtering
- item recommendation
- recommender systems
- cold start problem
- data sparsity
- user preferences
- recommendation systems
- cold start
- user ratings
- recommendation quality
- online learning
- personalized ranking
- implicit feedback
- negative matrix factorization
- personalized recommendation
- low rank
- tag recommendation
- factor analysis
- nonnegative matrix factorization
- factorization methods
- user profiles
- information overload
- missing data
- user feedback
- variational bayesian
- tensor factorization
- probabilistic matrix factorization
- user model
- user interests
- transfer learning
- latent factor models
- stochastic gradient descent
- online communities
- recommendation algorithms
- social network analysis
- rating prediction
- social networking services
- least squares
- social networks