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Generating and Testing Synthetic Datasets for Recommender Systems to Improve Fairness in Collaborative Filtering Research.

, and . AICCSA, page 1-6. IEEE, (2023)

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Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems., , , and . Int. J. Interact. Multim. Artif. Intell., 6 (1): 68-77 (2020)P-system communications architecture configuration based on growing self-organizing maps., , and . Artif. Life Robotics, 15 (1): 77-82 (2010)Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks., , , and . Knowl. Based Syst., (November 2023)Recommendation Versus Regression Neural Collaborative Filtering., , , and . KES-IDT, volume 309 of Smart Innovation, Systems and Technologies, page 15-24. Springer, (2022)Reliability quality measures for recommender systems., , , and . CoRR, (2024)Dual Contribution of JPEG 2000 Images for Unidirectional Links., , and . DCC, page 521. IEEE Computer Society, (2010)Hardware Implementation of a Bounded Algorithm for Application of Rules in a Transition P-System., , , and . SYNASC, page 343-349. IEEE Computer Society, (2006)Recommender systems survey., , , and . Knowl. Based Syst., (2013)Hardware circuit for the application of evolution rules in a transition P-system., , and . Artif. Life Robotics, 15 (1): 89-92 (2010)ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering., , , and . CoRR, (2022)