Deep learning method for classifying items into categories for dutch auctions

• Autorzy: Bobulski Janusz , Szymoniak Sabina

Identyfikatory

DOI

10.24423/cames.2024.979

• Języki publikacji: EN

Abstrakty

EN

Artificial Intelligence (AI) methods are widely used in our lives (phones, social media, self-driving cars, and e-commerce). In AI methods, we can find convolutional neural networks (CNN). First of all, we can use these networks to analyze images. This paper presents a method for classifying items into particular categories on an auction site. The technique prompts the seller to which category assign the item when creating a new auction. We choose a neural network with a number of image convolution layers as the best available approach to address this task. All tests were carried out in the Matlab environment using GPU and CPU. Then, the tested and verified solution was implemented in the TensorFlow environment with a CPU processor. Thanks to the cross-validation method, the effectiveness of the recognition system was fully verified in several stages. We obtained promising results. Consequently, we implemented the developed method by adding a new sales offer on the Clemens website.

Słowa kluczowe

EN

deep learning; internet auction; classification

PL

głęboka nauka; aukcja internetowa; klasyfikacja

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2024
• Tom: Vol. 31, no. 1
• Strony: 67--79
• Opis fizyczny: Bibliogr. 33 poz., fot., tab., wykr.

Twórcy

autor

Bobulski Janusz

• Clemens Adam Mazgaj, Krakow, Poland
• Department of Computer Science, Czestochowa University of Technology, Czestochowa,Poland

autor

Szymoniak Sabina

• Clemens Adam Mazgaj, Krakow, Poland
• Department of Computer Science, Czestochowa University of Technology, Czestochowa,Poland

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