A Cross Domain Method for Customer Lifetime Value Prediction in Supply Chain Platform

Author:

Zhou Zhiyuan1ORCID,Lin Li2ORCID,Wang Hai1ORCID,Zhou Xiaolei3ORCID,Wei Gong4ORCID,Wang Shuai2ORCID

Affiliation:

1. Southeast University & JD Logistics, Nanjing, China

2. Southeast University, Nanjing, China

3. National University of Defense Technology, Nanjing, China

4. University of Science and Technology of China, Hefei, China

Funder

National Natural Science Foundation of China under Grant

Science and Technology Innovation 2030-Major Project under Grant

Natural Science Foundation of Jiangsu Province under Grant

Publisher

ACM

Reference40 articles.

1. Beyond Customer Lifetime Valuation: Measuring the Value of Acquisition and Retention for Subscription Services

2. Shaojie Bai, J Zico Kolter, and Vladlen Koltun. 2018. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint arXiv:1803.01271 (2018).

3. Josef Bauer and Dietmar Jannach. 2021. Improved customer lifetime value prediction with sequence-to-sequence learning and feature-based models. ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 15, 5 (2021), 1--37.

4. Shlomo Berkovsky, Tsvi Kuflik, and Francesco Ricci. 2007. Cross-domain mediation in collaborative filtering. In User Modeling 2007: 11th International Conference, UM 2007, Corfu, Greece, July 25--29, 2007. Proceedings 11. Springer, 355--359.

5. Sharad Borle, Siddharth S Singh, and Dipak C Jain. 2008. Customer lifetime value measurement. Management science, Vol. 54, 1 (2008), 100--112.

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