AUTOTAGGING AND USING OF VISUAL CHARACTERISTICS OF IMAGES IN INTERNET-MARKETING

Journal Title: Інтелект ХХІ - Year 2018, Vol 3, Issue

Abstract

Internet-marketing is growing fast in today’s world. More and more goods are sold through online resources. This causes of a production of the large amount of visual content, which plays one of the important roles when choosing a product by the customer. An ability to process all this content in an automated way will not only save business’s money, but will also lead to increase in sales through effective recommendations. In this article, we have built models for images tagging using neural networks and fine-tunning. Also, we have developed an approach for extracting of recommendations based on the deep characteristics of images and nearest neighbors algorithm, as well as have compared deep characteristics calculated with different models.

Authors and Affiliations

T. Hnot

Keywords

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  • EP ID EP576374
  • DOI -
  • Views 115
  • Downloads 0

How To Cite

T. Hnot (2018). AUTOTAGGING AND USING OF VISUAL CHARACTERISTICS OF IMAGES IN INTERNET-MARKETING. Інтелект ХХІ, 3(), -. https://europub.co.uk/articles/-A-576374