An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems.
Badr Ait HammouAyoub Ait LahcenSalma MoulinePublished in: Expert Syst. Appl. (2019)
Keyphrases
- matrix factorization
- random forest
- collaborative filtering
- big data
- recommendation systems
- predictive model
- recommender systems
- decision trees
- cloud computing
- missing data
- base classifiers
- feature set
- user preferences
- data management
- social media
- historical data
- data analysis
- ensemble methods
- prediction model
- model selection
- multi label
- knowledge discovery
- user interface
- feature space
- machine learning
- data warehousing
- prediction accuracy
- neural network
- semi supervised
- information extraction
- training data