Multiobjective Deep Reinforcement Learning for Recommendation Systems.
Ee Yeo KeatNurfadhlina Mohd SharefRazali YaakobKhairul Azhar KasmiranErzam MarlisahNorwati MustaphaMaslina ZolkepliPublished in: IEEE Access (2022)
Keyphrases
- recommendation systems
- multi objective
- reinforcement learning
- evolutionary algorithm
- multiobjective optimization
- multi objective optimization
- optimization algorithm
- collaborative filtering
- user preferences
- particle swarm optimization
- objective function
- recommender systems
- multiple objectives
- user modeling
- genetic algorithm
- social recommendation
- pareto optimal
- state space
- search engine
- nsga ii
- collaborative filtering recommendation algorithm
- personalized recommendation
- recommendation quality
- user feedback
- web search
- learning algorithm
- optimization problems
- learning process
- neural network
- learning problems
- differential evolution
- transfer learning
- supervised learning
- social media
- expert systems
- multiobjective evolutionary algorithm
- machine learning
- multiobjective genetic algorithm