Diversification and refinement in collaborative filtering recommender.
Rubi BoimTova MiloSlava NovgorodovPublished in: CIKM (2011)
Keyphrases
- collaborative filtering
- recommender systems
- matrix factorization
- user preferences
- tabu search
- data sparsity
- personalized recommendation
- user ratings
- recommendation systems
- making recommendations
- user profiles
- deal with information overload
- pearson correlation coefficient
- refinement process
- cold start
- search strategies
- transfer learning
- netflix prize
- information filtering
- cold start problem
- latent factor models
- bayesian networks
- item based collaborative filtering
- user based collaborative filtering
- machine learning