UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2006276


Registration ID:
234418

Page Number

1909-1914

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Title

Deep Learning Technique for selecting appropriate Beauty Care Products for different skin Type

Abstract

This research has been undertaken to ease the challenging task of the beauty industry by using Deep Learning Method. Nowadays, the cosmetic product plays a major role in the appearance of personality. Customers are given a number of items with online shopping and e-commerce websites. It's difficult for us to pick the best product for our skin. Over recent years recommendation systems have been commonly used for providing user recommendations in various commercial platforms. The sparsity of the data and the scalability of the method however limit the performance of the algorithms used for recommendation and it is difficult to further improve the quality of the results of the recommendations. Hence we propose a predictive system that provides a precise idea of which product is best for our skin type using the Deep Learning Technique. The suggestion is based on the types of skin that might be Normal, Combination, Dry, Oily, and Sensitive. We have implemented the Deep Neural Network (DNN) model for cosmetic product composition. Finally, it is validated, by comparing with other recommendation algorithms on our generated dataset, that our model can effectively boost the recommendation performance.

Key Words

Deep Learning, Deep Neural Network, Cosmetic Product Suggestion

Cite This Article

"Deep Learning Technique for selecting appropriate Beauty Care Products for different skin Type", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1909-1914, June-2020, Available :http://www.jetir.org/papers/JETIR2006276.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Deep Learning Technique for selecting appropriate Beauty Care Products for different skin Type", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1909-1914, June-2020, Available at : http://www.jetir.org/papers/JETIR2006276.pdf

Publication Details

Published Paper ID: JETIR2006276
Registration ID: 234418
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 1909-1914
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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