An item/user representation for recommender systems based on bloom filters.
Manuel PozoRaja ChikyFarid MezianeElisabeth MétaisPublished in: RCIS (2016)
Keyphrases
- recommender systems
- user preferences
- bloom filter
- collaborative filtering
- cold start problem
- user ratings
- active user
- user profiles
- recommendation algorithms
- personalized recommendation
- item recommendation
- cold start
- user profiling
- information overload
- user similarity
- user modeling
- recommendation quality
- user feedback
- data sparsity
- matrix factorization
- user interests
- hybrid recommendation
- user interface
- personal preferences
- recommendation systems
- latent factor models
- end users
- making recommendations
- item based collaborative filtering
- user interaction
- collaborative filtering recommender systems
- record linkage
- product recommendation
- databases
- privacy preserving
- training set
- data streams
- data mining
- neural network