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Visual Hybrid Recommendation Systems Based on the Content-Based Filtering

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Artificial Intelligence and Soft Computing (ICAISC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12416))

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Abstract

In light of access to a huge amount of data and ever-changing trends, it is necessary to use recommendation systems to find information of interest to us. In this paper, a new approach to designing recommendation systems is proposed. It is designed to recommend images based on their content. To this end, the convolutional neural network and the Bahdanau attention mechanism are combined. In consequence, the method makes it possible to identify areas that were particularly important for a given image to be recommended. The algorithm has been tested on the publicly available Zappo50K database.

This work was supported by the Polish National Science Centre under grant no. 2017/27/B/ST6/02852.

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Author information

Authors and Affiliations

  1. Czestochowa University of Technology, Czestochowa, Poland

    Piotr Woldan & Piotr Duda

  2. Department of Computer Science, Meiji University, Kawasaki, Japan

    Yoichi Hayashi

Authors
  1. Piotr Woldan
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  2. Piotr Duda
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  3. Yoichi Hayashi
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Corresponding author

Correspondence to Piotr Duda .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Woldan, P., Duda, P., Hayashi, Y. (2020). Visual Hybrid Recommendation Systems Based on the Content-Based Filtering. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2020. Lecture Notes in Computer Science(), vol 12416. Springer, Cham. https://doi.org/10.1007/978-3-030-61534-5_41

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  • DOI: https://doi.org/10.1007/978-3-030-61534-5_41

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  • Online ISBN: 978-3-030-61534-5

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