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A Hybrid Model for Online Merchandise Recommendation Based on Ordination and Cluster Analysis

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Proceedings of the Fourteenth International Conference on Management Science and Engineering Management (ICMSEM 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1190))

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Abstract

With the continuous development of modern information technology, online shopping is becoming more and more popular. With more and more online products, how to rank and recommend online products is particularly important. This paper proposed a hybrid model combining unconstrained ordination analysis and cluster analysis. Ordination analysis is used to explain the relationship between online merchandise and its indexes; then cluster analysis is implemented to classify the results of the ranking analysis. Therefore, the buyer can directly understand the situation of the product in terms of the product index and the store index from the bi-plots. The proposed model solves the neglect of the link between commodities and their indexes in traditional rankings. Buyers can purchase goods accurately according to their needs.

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Acknowledgements

This research was supported by the projects 2019skzx-pt171.

Author information

Authors and Affiliations

  1. Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu, 610064, People’s Republic of China

    Siqi Hu & Zhineng Hu

  2. Business School, Sichuan University, Chengdu, 610064, People’s Republic of China

    Shihang Wang

Authors
  1. Siqi Hu
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  2. Shihang Wang
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  3. Zhineng Hu
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Corresponding author

Correspondence to Zhineng Hu .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Jiuping Xu

  2. Academy of Sciences of Moldova, Chisinau, Moldova

    Gheorghe Duca

  3. Faculty of Math and Science, Brock University, Hamilton, ON, Canada

    Syed Ejaz Ahmed

  4. ETSI Industriales de Ciudad Real, University of Castile-La Mancha (UCLM), Ciudad Real, Spain

    Fausto Pedro García Márquez

  5. Institute of Control Systems, Azerbaijan Natl Academy of Sciences, Baku, Azerbaijan

    Asaf Hajiyev

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Hu, S., Wang, S., Hu, Z. (2020). A Hybrid Model for Online Merchandise Recommendation Based on Ordination and Cluster Analysis. In: Xu, J., Duca, G., Ahmed, S., García Márquez, F., Hajiyev, A. (eds) Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. ICMSEM 2020. Advances in Intelligent Systems and Computing, vol 1190. Springer, Cham. https://doi.org/10.1007/978-3-030-49829-0_27

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