The authors present CategoricalClassification, a modular framework for generating diverse synthetic categorical datasets to evaluate recommender systems in controlled experiments.
Slokom, Comparing recommender systems using synthetic data, in: Proceedings of the 12th ACM Conference on Recommender Systems, 2018, pp
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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.