Finding users' latent interests for recommendation by learning classifier systems.
Takao TeranoEiji MurakamiPublished in: KES (2000)
Keyphrases
- learning classifier systems
- recommender systems
- collaborative filtering
- user profiles
- user interests
- personalized recommendation
- recommendation systems
- user ratings
- browsing behavior
- individual user
- personalized services
- classifier systems
- evolutionary computation
- user feedback
- personal interests
- product recommendation
- information overload
- online dating
- genetic algorithm
- reinforcement learning
- user groups
- recommendation algorithms
- implicit feedback
- user behavior
- user interaction
- user model
- latent variables
- machine learning systems
- personal preferences
- recommendation quality
- real valued
- genetic programming
- relevance feedback
- prior knowledge