Exploiting time contexts in collaborative filtering: an item splitting approach.
Pedro G. CamposIván CantadorFernando DíezPublished in: CaRR@WSDM (2013)
Keyphrases
- collaborative filtering
- collaborative filtering recommendation algorithm
- user preferences
- personalized recommendation
- item recommendation
- making recommendations
- cold start problem
- recommender systems
- user ratings
- pearson correlation coefficient
- matrix factorization
- item based collaborative filtering
- recommendation algorithms
- user similarity
- data sparsity
- latent factor models
- hybrid recommendation
- cold start
- rating prediction
- collaborative filtering algorithms
- active user
- user item rating
- recommendation systems
- user interests
- transfer learning
- user profiles
- information retrieval
- user specific
- social context
- user behavior
- bayesian networks
- information systems
- real world