Cosmetics Recommendation Using Decision Tree Classification Machine Learning Model By IJISRT

Author:

Lokeswari Narina,Lavanya Sabbarapu,Harshitha Karumuri,Srinu Vasarao Parnandi

Abstract

The interest for beauty care products has developed as of late, particularly in the space of skincare, all over the planet. Customers have generally depended on top selling things or ideas from the counter while shopping available. These is an inquiry that on the off chance that an item will work with a specific client since everybody has a particular skin condition. The primary objective of this proposition is to foster a framework for suggesting skincare items in view of the client's skin type and the cosmetics of the item.

Publisher

International Journal of Innovative Science and Research Technology

Reference7 articles.

1. Hansson, Linda. “Product Recommendations in E-commerce Systems using Content-based and Collaborative Filtering.” (2015).Download (lu.se)

2. Ye, Hongwu. “A Personalized Collaborative Filtering Recommendation Using Association Rules Mining and Self-Organizing Map.” J. Softw. 6.4 (2011): 732-739.

3. Putriany, Villia, JaidanJauhari, and RahmatIzwanHeroza. “Item Clustering as An Input for Skin Care Product Recommended System Using Content Based Filtering.” Journal of Physics: Conference Series. Vol. 1196. No. 1. IOP Publishing, 2019.

4. Joanna Cristy Patty, Elika Thea Kirana, and Made Sandra Diamond KhrismayantiGiri. 2018. Recommendations System for Purchase Of Cosmetics Using Content Based Filtering. International Journal of Computer Engineering and Information Technology 10, 1 (Jan. 2018), 1–5.

5. Jeong, Jiwon. “For Your Skin Beauty: Mapping Cosmetic Items with Bokeh.” (2018).

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