AUTO-DataGenCARS+: An Advanced User-Oriented Tool to Generate Data for the Evaluation of Recommender Systems

The chapter introduces AUTO-DataGenCARS+, a sophisticated tool designed to generate synthetic datasets for evaluating Context-Aware Recommender Systems (CARS). It addresses the challenges of limited datasets and evaluation conditions by providing an intuitive graphical user interface and comprehensive functionalities for data generation, preprocessing, and evaluation. The tool is particularly valuable for researchers and developers in the field of recommender systems, offering a significant step forward in the evaluation of CARS. The chapter highlights the tool's capabilities through various example scenarios, showcasing its effectiveness in enlarging datasets, incorporating context data, reducing bias, and generating completely synthetic datasets. By integrating data analysis and evaluation functionalities, AUTO-DataGenCARS+ streamlines the workflow from data generation to evaluation, making it an invaluable resource for advancing the field of context-aware recommendations.