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Resident-Based Store Recommendation Model for Community Commercial Planning

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Advanced Data Mining and Applications (ADMA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14176))

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Abstract

The objective of community commercial planning is to identify appropriate stores to operate in a community shopping center, catering to the daily needs of residents and enhancing the appeal of the shopping center. However, obtaining data on the characteristics of all residents in the community is a major challenge, and practical methods for selecting suitable stores based on resident characteristics are unavailable. To address these issues, we propose a model that leverages mutual information maximization to learn representations of valuable residents in the shopping area and assess their value. Our key innovation is a value-ranking encoder-decoder that learns the characteristics of all residents in the community and recommends the most suitable store for each storefront. To balance the diversity and competition of businesses within the shopping center, we introduce a diversity loss function. Extensive experimental results show the effectiveness of our model.

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Authors and Affiliations

  1. School of Computer Science and Technology, East China Normal University, Shanghai, China

    Kaiwen Wu, Yanhu Li & Xiaofeng He

Authors
  1. Kaiwen Wu
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  2. Yanhu Li
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  3. Xiaofeng He
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Corresponding author

Correspondence to Xiaofeng He .

Editor information

Editors and Affiliations

  1. Northeastern University, Shenyang, China

    Xiaochun Yang

  2. The University of Indonesia, Depok, Indonesia

    Heru Suhartanto

  3. Beijing Institute of Technology, Beijing, China

    Guoren Wang

  4. Northeastern University, Shenyang, China

    Bin Wang

  5. University of Technology Sydney, Sydney, NSW, Australia

    Jing Jiang

  6. Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

    Bing Li

  7. Sun Yat-sen University, Guangzhou, China

    Huaijie Zhu

  8. Anhui University, Hefei, China

    Ningning Cui

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Wu, K., Li, Y., He, X. (2023). Resident-Based Store Recommendation Model for Community Commercial Planning. In: Yang, X., et al. Advanced Data Mining and Applications. ADMA 2023. Lecture Notes in Computer Science(), vol 14176. Springer, Cham. https://doi.org/10.1007/978-3-031-46661-8_54

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  • DOI: https://doi.org/10.1007/978-3-031-46661-8_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-46660-1

  • Online ISBN: 978-3-031-46661-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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