Optimal Recommendation Strategies for AI-Powered E-Commerce Platforms: A Study of Duopoly Manufacturers and Market Competition
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Zhou, C.; Li, H.; Zhang, L.; Ren, Y. Optimal Recommendation Strategies for AI-Powered E-Commerce Platforms: A Study of Duopoly Manufacturers and Market Competition. J. Theor. Appl. Electron. Commer. Res. 2023, 18, 1086-1106. https://doi.org/10.3390/jtaer18020055
Zhou C, Li H, Zhang L, Ren Y. Optimal Recommendation Strategies for AI-Powered E-Commerce Platforms: A Study of Duopoly Manufacturers and Market Competition. Journal of Theoretical and Applied Electronic Commerce Research. 2023; 18(2):1086-1106. https://doi.org/10.3390/jtaer18020055
Chicago/Turabian StyleZhou, Chi, He Li, Linlin Zhang, and Yufei Ren. 2023. "Optimal Recommendation Strategies for AI-Powered E-Commerce Platforms: A Study of Duopoly Manufacturers and Market Competition" Journal of Theoretical and Applied Electronic Commerce Research 18, no. 2: 1086-1106. https://doi.org/10.3390/jtaer18020055
APA StyleZhou, C., Li, H., Zhang, L., & Ren, Y. (2023). Optimal Recommendation Strategies for AI-Powered E-Commerce Platforms: A Study of Duopoly Manufacturers and Market Competition. Journal of Theoretical and Applied Electronic Commerce Research, 18(2), 1086-1106. https://doi.org/10.3390/jtaer18020055