Measuring the Concentration Reinforcement Bias of Recommender Systems.
Panagiotis AdamopoulosAlexander TuzhilinPeter MountanosPublished in: RecSys Posters (2015)
Keyphrases
- recommender systems
- collaborative filtering
- reinforcement learning
- matrix factorization
- user profiling
- recommendation quality
- user modeling
- user model
- information filtering
- cold start problem
- user preferences
- information overload
- high energy
- data sparsity
- trust aware
- implicit feedback
- user profiles
- item based collaborative filtering
- collaborative filtering recommender systems
- recommendation algorithms
- variance reduction
- user ratings
- database
- neural network