Personality Based Lipstick Color Recommender System using K-Nearest Neighbors Algorithm

Adiputra, Ryan and Iswari, Ni Made Satvika and Wella, Wella (2019) Personality Based Lipstick Color Recommender System using K-Nearest Neighbors Algorithm. IJNMT (International Journal of New Media Technology), 6 (1). ISSN 2355-0082

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Lipstick is a lip color which available in many colors. A research said instant valuation of woman personality can be figured by their lipstick color choice. Therefore there is a necessity to use the right lipstick color to obtain a harmony between personality and appearance. This experiment was conducted to give lipstick color recommendation by using K-Nearest Neighbors algorithm, and Myers-Briggs Type Indicator (MBTI) personality test instrument. The system was built on Android application. Euclidean distance value is affected by 5 factors which are age, introvert, sensing, thinking, and judging. Lipstick color recommendation is obtained by fetching 7 training data with nearest Euclidean distance when compared to personality test result. The colors used in this experiment are nude, pink, red, orange, and purple. After evaluation, it is obtained the application’s accuracy of 87.38% which considered as good classification, both precision and recall with 75.68% which considered as fair classification. The score for software quality is 79.13% which considered as good quality.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods (3D Graphics, Digital Video, Data Mining, Augmented Reality)
300 Social Sciences > 390 Customs, etiquette and folklore > 391 Costume and personal appearance
Divisions: Fakultas Teknik Informatika > Program Studi Informatika
Depositing User: mr admin umn
Date Deposited: 11 Oct 2021 13:43
Last Modified: 11 Oct 2021 13:43

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