Chatbot based on Deep Learning for Recommending Relevant Products

Authors

  • Luis Alberto Pachas-Santos Universidad Nacional Mayor de San Marcos
  • Hugo David Calderon-Vilca Universidad Nacional Mayor de San Marcos
  • Flor C. Cardenas-Mariño Universidad Nacional Mayor de San Marcos

DOI:

https://doi.org/10.13053/cys-27-2-4119

Keywords:

Relevant products, recommendation, chatbot, machine learning, neural networks, selling chatbot

Abstract

Online shopping platforms are growing at an unprecedented rate around the world. These platforms are mostly based on search engines, which are still mostly knowledge base based and use matching keywords to find similar products. However, customers want a more interactive approach that is convenient and reliable for viewing related products. In this article, we propose a novel idea of ​​searching for products in an online shopping system using a chatbot model that uses Deep Learning which processes images and text to generate responses to the customer. A user can provide a picture or give a description of the product they are looking for, and they will be presented with similar products based on the images. The system of proposed recommendations is based on the recovery of images based on the content provided. The evaluation of the proposed model is divided into two parts: if it is done through images it generates 80.6% accuracy and if it is done through text it has 75% accuracy.

Author Biographies

Luis Alberto Pachas-Santos, Universidad Nacional Mayor de San Marcos

Soy desarrollador web con 3 años de experiencia, me desenvuelvo bien en las áreas de front-end y back-end. Actualmente trabajo en una consultoría de software en el cual aprendí mucho y aún sigo aprendiendo con las capacitaciones que nos brindan.

Hugo David Calderon-Vilca, Universidad Nacional Mayor de San Marcos

Profesor de la Universidad Nacional Mayor de San Marcos UNMSM, cursos que dicta: Redes Neuronales, Inteligencia Artificial y Tesis. * Profesor de la Universidad Peruana de Ciencias Aplicadas UPC, cursos que dicta: Inteligencia Artificial y Seminario de Investigación Científica. Dedicado a la investigación científica en la disciplina Inteligencia Artificial en el área de Aprendizaje Máquina y Procesamiento de Lenguaje Natural. EXPERIENCIA: * Docente de la maestría en Informática de la Universidad Nacional del Altiplano Puno UNAP. * Director de Investigación de la Universidad Nacional Micaela Bastidas de Apurímac UNAMBA. * Coordinador de la Maestría en Informática Sede Abancay de la UNAP. * Director de Escuela Académica Profesional de Ingeniería Informática y Sistemas de la UNAMBA. * Jefe de la Oficina de Tecnologías de la Información de la UNAMBA. * Docente Pre grado de la UNAMBA. * Docente Pre grado de la Universidad Tecnológica de los Andes UTEA.

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Published

2023-06-17

Issue

Vol. 27 No. 2 (2023): 27(2) 2023

Section

Articles

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