EM_GA-RS: Expectation Maximization and GA-based Movie Recommender System.
Asha K. NR. RajkumarPublished in: EAI Endorsed Trans. Scalable Inf. Syst. (2022)
Keyphrases
- expectation maximization
- genetic algorithm ga
- recommender systems
- em algorithm
- genetic algorithm
- fitness function
- maximum likelihood
- probabilistic model
- mixture model
- collaborative filtering
- particle swarm optimization pso
- artificial neural networks
- parameter estimation
- genetic operators
- simulated annealing
- gaussian mixture model
- information filtering
- gaussian mixture
- unsupervised learning
- bayesian framework
- image segmentation
- user preferences
- user ratings
- log likelihood function
- expectation maximisation
- generative model
- neural network
- matrix factorization
- likelihood maximization
- maximum likelihood estimation
- probability density function
- user profiles
- user model
- movie recommendation
- likelihood function
- genetic programming
- k means
- mixture of gaussians
- hybrid ga
- variational bayesian
- evolutionary algorithm
- recommendation quality
- gradient ascent
- cold start
- multi objective
- model based clustering
- maximum likelihood estimates
- cold start problem
- hybrid algorithm
- personalized recommendation
- parameter learning
- search engine
- gaussian distribution