The Skin Care Product Recommendation System Based on Facial Skin Problems using the Content Based Filtering Method

Abstract

In this day and age, for some people, the need for facial skin care is one of the most important things. So do not be surprised if there are so many skin care products circulating in the community. However, the large number of product choices makes it difficult for people to choose the product that best suits their facial needs. Therefore, the author took the initiative to create a system that is able to recommend skin care products based on facial skin problems. In this study, the author uses the method of contentbased filtering in making the recommendation system. This recommendation system is made without using rating data, so the algorithm approach used is cosine similarity and TF-IDF in finding similarity features. Then, the first output that appears will be used by the machine as historical data to then enter the contentbased filtering stage. So, users will get recommendations according to the selected keywords and similar products.