A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA-ANFIS.
Mehrbakhsh NilashiOthman bin IbrahimNorafida IthninNor Haniza SarminPublished in: Electron. Commer. Res. Appl. (2015)
Keyphrases
- multi criteria
- expectation maximization
- collaborative filtering
- recommender systems
- em algorithm
- decision makers
- k means
- maximum likelihood
- probabilistic model
- fuzzy logic
- principal component analysis
- decision analysis
- imprecise information
- mixture model
- gaussian mixture model
- user preferences
- generative model
- multiple criteria decision making
- multiple criteria
- cold start problem
- data sparsity
- transfer learning
- information filtering
- multi attribute
- matrix factorization
- decision making
- user profiles
- multi criteria optimization
- neural network
- decision aid
- product recommendation
- group decision making
- implicit feedback
- multi objective
- online dating
- image segmentation
- recommendation systems
- objective function
- multi criteria decision making
- content based filtering
- artificial neural networks
- feature extraction
- personalized recommendation
- recommendation quality
- knowledge base
- cold start
- feature space
- collaborative filtering algorithms
- high dimensional
- fuzzy numbers
- multi attribute auctions
- user item rating