Combining review-based collaborative filtering and matrix factorization: A solution to rating's sparsity problem.
Rui DuanCuiqing JiangHemant K. JainPublished in: Decis. Support Syst. (2022)
Keyphrases
- collaborative filtering
- matrix factorization
- data sparsity
- recommender systems
- rating prediction
- cross domain collaborative filtering
- low rank
- user item rating
- tensor factorization
- user preferences
- rating matrix
- probabilistic matrix factorization
- negative matrix factorization
- recommendation quality
- user ratings
- factor analysis
- user profiles
- factorization methods
- cold start problem
- nonnegative matrix factorization
- high dimensional
- implicit feedback
- personalized recommendation
- transfer learning
- stochastic gradient descent
- data matrix
- variational bayesian
- demographic information
- item recommendation
- personalized ranking
- recommendation algorithms
- latent factor models
- matrix completion
- probabilistic model
- sparse representation
- cold start