An Explainable Educational Resource Recommendation Model Based on Matrix Factorization.
Xiaolin GuiFuying WuXiaoyan LiuYugen YiZhenzhen LuoBing LiPublished in: IC-NIDC (2021)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- cold start problem
- latent factor models
- low rank
- factorization methods
- nonnegative matrix factorization
- negative matrix factorization
- rating prediction
- tensor factorization
- missing data
- personalized recommendation
- implicit feedback
- recommendation systems
- factor analysis
- personalized ranking
- probabilistic matrix factorization
- user ratings
- recommendation algorithms
- data matrix
- cold start
- user feedback
- factorization method
- user interests
- transfer learning
- user preferences
- stochastic gradient descent
- eye tracking