Image-based Product Recommendation Method for E-commerce Applications Using Convolutional Neural Networks

Image-based Product Recommendation Method for E-commerce Applications Using Convolutional Neural Networks

Recommender systems (RS) are designed to eliminate the information overload problem in today's e-commerce platforms and other data-centric online services. They help users explore and exploit the system's information environment utilizing implicit and explicit data from internal e-commerce...

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Bibliographic Details
Main Authors: Pegah Malekpour Alamdari, Nima Jafari Navimipour, Mehdi Hosseinzadeh, Ali Asghar Safaei, Aso Darwesh
Format: Article
Language:ces
Published: Prague University of Economics and Business 2022-03-01
Series:Acta Informatica Pragensia
Subjects:
image-based recommender systems
recommender systems
e-commerce
deep learning
convolutional neural network
Online Access:https://aip.vse.cz/artkey/aip-202201-0002_image-based-product-recommendation-method-for-e-commerce-applications-using-convolutional-neural-networks.php

Internet

https://aip.vse.cz/artkey/aip-202201-0002_image-based-product-recommendation-method-for-e-commerce-applications-using-convolutional-neural-networks.php

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