Coupon recommendation system based on machine learning and simulated annealing algorithm

Yue Qi; Jun Wang; Xin Ma; Na Dong; Hongyan Yuan

doi:10.1117/12.2681532

1 June 2023 Coupon recommendation system based on machine learning and simulated annealing algorithm

Yue Qi, Jun Wang, Xin Ma, Na Dong, Hongyan Yuan

Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 1271802 (2023) https://doi.org/10.1117/12.2681532
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China

Abstract

In order to solve the problem of reasonable coupon issuance under the intelligent marketing scenario, this paper proposes a coupon recommendation method based on machine learning and natural heuristic algorithm. First, the machine learning algorithm is used to predict the probability of consumers using coupons. Then, according to the marketing cost constraints and the prediction results in the first stage, the optimization objective function is established, and the natural heuristic algorithm is used to simulate annealing (SA) to solve the optimal value, so as to achieve the purpose of issuing coupons to the most suitable consumers. The recommendation system designed according to this method can build data- driven customer attributes, effectively improve the order conversion rate, promote revenue growth, and enhance brand influence.

Citation Download Citation

Yue Qi, Jun Wang, Xin Ma, Na Dong, and Hongyan Yuan "Coupon recommendation system based on machine learning and simulated annealing algorithm", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 1271802 (1 June 2023); https://doi.org/10.1117/12.2681532

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