DAliM

Machine learning based intelligent lucky money determination for large-scale e-commerce businesses

Min Fu, Chi Man Wong, Hai Zhu, Yanjun Huang, Yuanping Li, Xi Zheng*, Jia Wu, Jian Yang, Chi Man Vong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

4 Citations (Scopus)

Abstract

E-commerce businesses compete in the market by conducting marketing strategies consisting of four aspects: customers, products, marketplaces and intermediaries. One of the widely-used marketing strategies, called Lucky Money, is capable of encouraging customers to buy products from marketplaces. However, the amount of luck money for each customer is usually randomly determined or even manually determined and cannot fully achieve the business objectives. This paper proposes a machine-learning based lucky money determination approach, called DAliM, for e-commerce businesses to achieve their desired goals. We implement DAliM for the “Double 11 Global Shopping Festival 2017” initiated by Alibaba Group and evaluate it using a few hundred million real customers from all over the world. The experimental results demonstrate that our method manages to decrease the lucky money spent by 41.71% and increase the final purchase rate by 24.94% compared to the state-of-the-art baseline.

Original languageEnglish
Title of host publicationService-Oriented Computing
Subtitle of host publication16th International Conference, ICSOC 2018, Proceedings
EditorsQi Yu, Claus Pahl, Maja Vukovic, Jianwei Yin
Place of PublicationSwitzerland
PublisherSpringer-VDI-Verlag GmbH & Co. KG
Pages740-755
Number of pages16
ISBN (Electronic)9783030035969
ISBN (Print)9783030035952
DOIs
Publication statusPublished - 1 Jan 2018
Event16th International Conference on Service-Oriented Computing, ICSOC 2018 - Hangzhou, China
Duration: 12 Nov 201815 Nov 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11236 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Service-Oriented Computing, ICSOC 2018
CountryChina
CityHangzhou
Period12/11/1815/11/18

Keywords

  • Data mining
  • E-commerce
  • Lucky money
  • Machine learning
  • Price optimization
  • Price prediction

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  • Cite this

    Fu, M., Wong, C. M., Zhu, H., Huang, Y., Li, Y., Zheng, X., ... Vong, C. M. (2018). DAliM: Machine learning based intelligent lucky money determination for large-scale e-commerce businesses. In Q. Yu, C. Pahl, M. Vukovic, & J. Yin (Eds.), Service-Oriented Computing: 16th International Conference, ICSOC 2018, Proceedings (pp. 740-755). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11236 LNCS). Switzerland: Springer-VDI-Verlag GmbH & Co. KG. https://doi.org/10.1007/978-3-030-03596-9_53