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Client profile prediction using convolutional neural networks for efficient recommendation systems in the context of smart factories.

Authors :
Nedjah, Nadia
Azevedo, Victor Ribeiro
Mourelle, Luiza De Macedo
Source :
Enterprise Information Systems; Oct/Nov2022, Vol. 16 Issue 10/11, p1653-1693, 41p
Publication Year :
2022

Abstract

In this work, we exploit a classifier based on convolutional neural network to predict users' interests regarding products and services, according to their publications in social media. We aim at designing a customizable recommendation system to target social networks' users as potential buyers. We evaluate the performance of training algorithms that use adaptive learning. The evaluation is performed in terms of the achieved accuracy rate to predict user's interest. The selection result is backed up by the multi-criteria decision making. Two metrics are used to identify the real user interest profile of users based on publicly available photos. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17517575
Volume :
16
Issue :
10/11
Database :
Complementary Index
Journal :
Enterprise Information Systems
Publication Type :
Academic Journal
Accession number :
159177178
Full Text :
https://doi.org/10.1080/17517575.2020.1856423