Evaluating the effectiveness of explanations for recommender systems - Methodological issues and empirical studies on the impact of personalization.
Nava TintarevJudith MasthoffPublished in: User Model. User Adapt. Interact. (2012)
Keyphrases
- empirical studies
- recommender systems
- methodological issues
- collaborative filtering
- user profiles
- user profiling
- empirical analysis
- user modeling
- user model
- real world data sets
- experimental design
- uci datasets
- information filtering
- cold start problem
- matrix factorization
- data sparsity
- user context
- systematic review
- information retrieval
- personalized recommendation
- information overload
- user interests
- prediction accuracy
- feature selection