Contextual Bandits for Multi-objective Recommender Systems.
Anísio LacerdaPublished in: BRACIS (2015)
Keyphrases
- multi objective
- recommender systems
- evolutionary algorithm
- collaborative filtering
- multi objective optimization
- optimization algorithm
- contextual information
- particle swarm optimization
- multiobjective optimization
- matrix factorization
- user profiles
- objective function
- genetic algorithm
- context sensitive
- user context
- information overload
- evolutionary optimization
- user preferences
- pareto optimal
- multiple objectives
- trust aware
- multiobjective evolutionary algorithm
- stochastic systems
- cold start problem
- bi objective
- multi objective evolutionary algorithms
- multi armed bandits
- implicit feedback
- conflicting objectives
- multi objective optimization problems
- trade off
- optimum design
- multi objective genetic algorithms
- item based collaborative filtering
- recommendation algorithms
- multi objective evolutionary
- recommendation quality
- personalized recommendation
- user modeling
- reinforcement learning