Estimating Confidence of Individual User Predictions in Item-based Recommender Systems.
Cesare BernardisMaurizio Ferrari DacremaPaolo CremonesiPublished in: UMAP (2019)
Keyphrases
- recommender systems
- individual user
- user model
- user profiles
- collaborative filtering
- personalized search
- collaborative filtering recommender systems
- user behavior
- user ratings
- user preferences
- confidence estimates
- item based collaborative filtering
- matrix factorization
- user modeling
- cold start problem
- personalized services
- user interests
- information overload
- user profiling
- data sparsity
- cold start
- implicit feedback
- information filtering
- document collections
- conformal prediction
- recommendation algorithms
- user interface