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Personalized Smart Skincare Product Recommendation System

by L.M.I.T. Hemantha, T.M.E. Gayathri, N.N.M. De Silva
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 41
Year of Publication: 2022
Authors: L.M.I.T. Hemantha, T.M.E. Gayathri, N.N.M. De Silva
10.5120/ijca2022922469

L.M.I.T. Hemantha, T.M.E. Gayathri, N.N.M. De Silva . Personalized Smart Skincare Product Recommendation System. International Journal of Computer Applications. 184, 41 ( Dec 2022), 1-6. DOI=10.5120/ijca2022922469

@article{ 10.5120/ijca2022922469,
author = { L.M.I.T. Hemantha, T.M.E. Gayathri, N.N.M. De Silva },
title = { Personalized Smart Skincare Product Recommendation System },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2022 },
volume = { 184 },
number = { 41 },
month = { Dec },
year = { 2022 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number41/32583-2022922469/ },
doi = { 10.5120/ijca2022922469 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:23:42.959507+05:30
%A L.M.I.T. Hemantha
%A T.M.E. Gayathri
%A N.N.M. De Silva
%T Personalized Smart Skincare Product Recommendation System
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 41
%P 1-6
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cosmetics have been part of the lifestyles of humans since civilization began, and globalization has driven the cosmetics industry to develop several new solutions. Chemical stability is a key component of ensuring that a cosmetic product is safe for consumer use. Before using a cosmetic product, it is highly recommended to understand and recognize the facial condition of the consumer and give them a clear understanding of the products that they are using. Therefore, the main objective of this study is to recognize the various skin types of consumers and give a realization about the products to prevent Allergies.This component investigates how may derive feature-level evaluations of beauty items from consumer reviews and ratings to impact future consumer and manufacturer decision-making. In the study, user reviews and ratings In this studycollected on online shopping sites for a selection of cosmetic products. For this goal, In this study explicitly did a feature-level and sentiment analysis for reviews.Sentiment analysis is research that analyses and extracts opinions from given reviews. This studyhas shown each review's positive and negative aspects in this section. Finally, myn this researchresearch provides ratings for four cosmetics features. It aids in creating individualized purchasing decisions. In this case, the intended alternative was cosmetics that are selected based on predetermined criteria. This decision support system can provide alternative choices of cosmetics that can be used later as a reference to determine cosmetics that are suitable for the type of facial skin.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image processing Natural language processing Sentiment Analysis Introduction ingredients analysis

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