Genetic Algorithm Based Parallel Matrix Factorization for Recommender Systems.
B. Vaibhav SrivastavaShashikant SharmaDeepanwita DattaGuduri SriramSaket JambhulkarShashank NaikGanapa Jaswanth ReddyPublished in: ICIT (2016)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- cold start problem
- data sparsity
- low rank
- nonnegative matrix factorization
- factorization methods
- user preferences
- negative matrix factorization
- probabilistic matrix factorization
- implicit feedback
- information overload
- missing data
- factorization method
- factor analysis
- recommendation quality
- personalized recommendation
- factor matrices
- stochastic gradient descent
- multiscale
- personalized ranking
- rating prediction
- user profiles
- variational bayesian
- latent factor models
- user interests
- data matrix
- computer architecture
- recommendation systems