Collaborative Filtering: The Aim of Recommender Systems and the Significance of User Ratings.
Jennifer Louise RedpathDavid H. GlassSally I. McCleanLuke ChenPublished in: ECIR (2010)
Keyphrases
- user ratings
- collaborative filtering
- recommender systems
- matrix factorization
- cold start
- data sparsity
- prediction accuracy
- rating prediction
- user preferences
- cold start problem
- recommendation quality
- collaborative filtering algorithms
- user based collaborative filtering
- information filtering
- collaborative recommender systems
- user profiles
- recommendation systems
- personalized recommendation
- hybrid recommendation
- information overload
- implicit feedback
- user model
- transfer learning
- information retrieval
- active user
- user feedback
- knn
- probabilistic matrix factorization
- association rules