Optimized machine learning based collaborative filtering (OMLCF) recommendation system in e-commerce.
J. AnithaM. KalaiarasuPublished in: J. Ambient Intell. Humaniz. Comput. (2021)
Keyphrases
- collaborative filtering
- machine learning
- product recommendation
- recommender systems
- recommendation systems
- matrix factorization
- data sparsity
- transfer learning
- personalized recommendation
- pattern recognition
- user preferences
- electronic commerce
- machine learning algorithms
- decision trees
- knowledge representation
- supervised learning
- artificial intelligence
- machine learning approaches
- information filtering
- inductive learning
- machine learning methods
- deal with information overload
- active learning
- computer vision
- inductive logic programming
- natural language processing
- learning problems
- learning tasks
- data mining
- recommendation algorithms
- cold start problem
- learning algorithm
- user based collaborative filtering
- probabilistic matrix factorization
- natural language
- learning systems
- user interests
- feature selection
- model selection
- computer science
- information extraction