Context-based splitting of item ratings in collaborative filtering.
Linas BaltrunasFrancesco RicciPublished in: RecSys (2009)
Keyphrases
- collaborative filtering
- user ratings
- collaborative filtering recommendation algorithm
- personalized recommendation
- cold start problem
- user preferences
- pearson correlation coefficient
- item recommendation
- recommender systems
- latent factor models
- cold start
- rating prediction
- making recommendations
- collaborative filtering algorithms
- matrix factorization
- active user
- recommendation algorithms
- user similarity
- hybrid recommendation
- item based collaborative filtering
- data sparsity
- user item rating
- recommendation systems
- prediction accuracy
- information filtering
- neighbor selection
- user profiles
- rating matrix
- user interests
- netflix prize
- implicit feedback
- context sensitive
- transfer learning
- deal with information overload
- website
- search engine
- neural network