Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences.
Manos PapagelisDimitris PlexousakisThemistoklis KutsurasPublished in: iTrust (2005)
Keyphrases
- collaborative filtering
- data sparsity
- recommender systems
- matrix factorization
- cross domain collaborative filtering
- tensor factorization
- trust model
- user item rating
- rating matrix
- rating prediction
- cold start problem
- trust evaluation
- information filtering
- user preferences
- cold start
- deal with information overload
- collaborative filtering algorithms
- user similarity
- probabilistic matrix factorization
- transfer learning
- high dimensional
- user profiles
- recommendation systems
- pearson correlation coefficient
- recommendation quality
- trust propagation
- sparse approximation
- content based filtering
- user interests
- social networks
- personalized recommendation