Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation.
Elisa Mena-MaldonadoRocío CañamaresPablo CastellsYongli RenMark SandersonPublished in: SIGIR (2020)
Keyphrases
- false positives
- recommender systems
- false negative
- true positive
- number of false positives
- detection rate
- evaluation metrics
- evaluation methods
- false positive rate
- evaluation criteria
- collaborative filtering
- evaluation methodology
- low false positive rate
- active learning
- data sets
- information extraction
- benchmark datasets
- matrix factorization
- user modeling
- quality metrics