APA (7th ed.) Citation

Wu, Z., Wang, Z., Luo, C., Du, X., & Chen, J. (2025). No Bias Left Behind: Fairness Testing for Deep Recommender Systems Targeting General Disadvantaged Groups. Proceedings of the ACM on software engineering, 2(ISSTA), 1607-1629. https://doi.org/10.1145/3728948

Chicago Style (17th ed.) Citation

Wu, Zhuo, Zan Wang, Chuan Luo, Xiaoning Du, and Junjie Chen. "No Bias Left Behind: Fairness Testing for Deep Recommender Systems Targeting General Disadvantaged Groups." Proceedings of the ACM on Software Engineering 2, no. ISSTA (2025): 1607-1629. https://doi.org/10.1145/3728948.

MLA (9th ed.) Citation

Wu, Zhuo, et al. "No Bias Left Behind: Fairness Testing for Deep Recommender Systems Targeting General Disadvantaged Groups." Proceedings of the ACM on Software Engineering, vol. 2, no. ISSTA, 2025, pp. 1607-1629, https://doi.org/10.1145/3728948.