The authors present CategoricalClassification, a modular framework for generating diverse synthetic categorical datasets to evaluate recommender systems in controlled experiments.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems
The authors present CategoricalClassification, a modular framework for generating diverse synthetic categorical datasets to evaluate recommender systems in controlled experiments.