Eliminating bias: enhancing children's book recommendation using a hybrid model of graph convolutional networks and neural matrix factorization.
Lijuan ShenLiping JiangPublished in: PeerJ Comput. Sci. (2024)
Keyphrases
- matrix factorization
- hybrid model
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- network architecture
- artificial neural networks
- low rank
- cold start problem
- negative matrix factorization
- latent factor models
- factorization methods
- hybrid models
- recommendation systems
- support vector regression
- missing data
- neural network
- sparse non negative
- user preferences
- nonnegative matrix factorization
- implicit feedback
- factor analysis
- support vector machine svm
- network structure
- stochastic gradient descent
- cold start
- complex networks
- tensor factorization
- user ratings
- latent factors
- high dimensional
- face recognition
- learning algorithm
- data sets
- neural network model