Reinforcement learning for addressing the cold-user problem in recommender systems.
Stelios GiannikisFlavius FrasincarDavid BoekestijnPublished in: Knowl. Based Syst. (2024)
Keyphrases
- recommender systems
- reinforcement learning
- collaborative filtering
- user preferences
- user profiles
- user modeling
- user model
- cold start problem
- matrix factorization
- recommendation systems
- state space
- user profiling
- user interface
- multi agent
- user ratings
- recommendation quality
- user feedback
- personalized recommendation
- information overload
- content based filtering
- user modelling
- active user
- user interests
- user defined
- learning process
- information retrieval
- item recommendation
- collaborative filtering recommender systems
- product recommendation
- cold start
- recommendation algorithms
- user satisfaction
- user interaction
- learning algorithm