ISSN (print) 0914-4935
ISSN (online) 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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System for Recommending Facial Skincare Products

Chih-Hsien Hsia, Ting-Yu Lin, Jhe-Li Lin, Heri Prasetyo, Shih-Lun Chen, and Hsien-Wei Tseng

(Received March 15, 2020; Accepted June 30, 2020)

Keywords: acne, skincare, care product recommendation system, support vector machine.

Acne is a skin problem that plagues many young people and adults. Even if it is cured, it leaves acne spots or acne scars and many individuals must use skincare products or undertake medical treatment. However, the use of inappropriate skincare products can exacerbate skin conditions. We propose the use of multi-feature processing and classification of skin quality and acne status by machine learning to make recommendations for facial skincare products. The results for 15 subjects show that the proposed system achieves a consumer satisfaction index of 80%.

Corresponding author: Hsien-Wei Tseng




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