Mining and representing recommendations in actively evolving recommender systems.
Ira AssentPublished in: ICDE Workshops (2010)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- user preferences
- recommendation quality
- information filtering
- user modeling
- trust aware
- web personalization
- recommendation algorithms
- information overload
- mining algorithm
- cold start problem
- personalized recommendation
- cold start
- collaborative recommender systems
- user profiles
- making recommendations
- knowledge discovery
- active learning
- data sets
- content based filtering
- movie recommendation
- user profiling
- collaborative filtering recommender systems
- data mining techniques
- frequent patterns
- collaborative filtering algorithms
- data mining
- mobile devices
- user interface
- trust propagation
- frequent itemsets
- association rule mining
- latent factor models
- user ratings
- collaborative recommendation
- web mining
- product recommendation
- pattern mining
- user model
- data sparsity
- data mining methods