Removing redundancy and inconsistency in memory-based collaborative filtering.
Kai YuXiaowei XuAnton SchwaighoferVolker TrespHans-Peter KriegelPublished in: CIKM (2002)
Keyphrases
- collaborative filtering
- recommender systems
- matrix factorization
- data sparsity
- user preferences
- pearson correlation coefficient
- information filtering
- active user
- collaborative filtering algorithms
- memory based learning
- data sets
- recommendation systems
- web page recommendation
- probabilistic model
- probabilistic matrix factorization
- maximum margin matrix factorization
- latent factor models
- deal with information overload
- recommendation algorithms
- user ratings
- classical logic
- information content
- similarity measure
- learning algorithm
- data mining