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Neural Network Method of Items Catalog Forming for Online Store

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Advances in Artificial Systems for Logistics Engineering (ICAILE 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 135))

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Abstract

To simplify the work of creating a catalog of goods in the online store, the paper develops an neural network method of forming the items catalog of the online store based on neural network, based on which the site manager can automate the process of creating a catalog of goods, and thus reduce time on the formation of the catalog. The results of the method were conducted on the training sample of Fashion-MNIST data and a test sample of photos taken from the site “Marketplace – Clothing wholesale”. All images have tags and categories in the catalog: T-shirt/top, Trouser, Pullover, Dress, Coat, Sandal, Shirt, Sneaker, Bag, Ankle boot. Developed neural network method of creating a catalog of online store items, allows you to automate the process of creating a catalog for an online store and easily upload it to the platform via an XML file. The results obtained in the test sample showed quite good results, where Train Accuracy: 96.1%, Test Accuracy: 93.0%.

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Authors and Affiliations

  1. West Ukrainian National University, Lvivska Street 11, Ternopil, 46000, Ukraine

    Ivan Kit, Hrystyna Lipyanina-Goncharenko, Taras Lendyuk, Anatoliy Sachenko & Myroslav Komar

Authors
  1. Ivan Kit
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  2. Hrystyna Lipyanina-Goncharenko
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  3. Taras Lendyuk
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  4. Anatoliy Sachenko
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  5. Myroslav Komar
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Corresponding author

Correspondence to Ivan Kit .

Editor information

Editors and Affiliations

  1. School of Computer Science, Hubei University of Technology, Wuhan, China

    Zhengbing Hu

  2. College of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, China

    Qingying Zhang

  3. Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  4. Halmos College of Arts and Sciences, Nova Southeastern University, Ft. Lauderdale, FL, USA

    Matthew He

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Kit, I., Lipyanina-Goncharenko, H., Lendyuk, T., Sachenko, A., Komar, M. (2022). Neural Network Method of Items Catalog Forming for Online Store. In: Hu, Z., Zhang, Q., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Logistics Engineering. ICAILE 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 135. Springer, Cham. https://doi.org/10.1007/978-3-031-04809-8_14

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