The authors present CategoricalClassification, a modular framework for generating diverse synthetic categorical datasets to evaluate recommender systems in controlled experiments.
Shen, Deepctr: Easy-to-use,modular and extendible package of deep-learning based ctr models, https://github.com/shenweichen/deepctr, 2017
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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.