FLICM clustering with matrix factorization based course recommendation in an E-learning platform.
A. MadhaviA. NageshA. GovardhanPublished in: Web Intell. (2023)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- e learning
- item recommendation
- nonnegative matrix factorization
- data sparsity
- cold start problem
- latent factor models
- low rank
- clustering algorithm
- simultaneous clustering
- factorization methods
- negative matrix factorization
- clustering method
- missing data
- k means
- tensor factorization
- rating prediction
- data matrix
- implicit feedback
- probabilistic matrix factorization
- recommendation systems
- unsupervised learning
- latent factors
- online learning
- factor analysis
- user preferences
- personalized recommendation
- cold start
- variational bayesian
- binary matrix
- data clustering
- user ratings
- recommendation algorithms
- generative model
- user profiles
- cluster analysis