Item clustering as an input for skin care product recommended system using content based filtering

Abstract

A lot of skin care products sold in the market shows us that skin care is an important part of lifestyle for both women and men. Considering that everyone has different skin profle, a recommendation system is required to help and give a personalised suggestion products based on the user's preferences. Recommendation system provides suggestions that effciently narrowing down the amount of informations so users will directed to the items which is most suitable for their skin. The method used in this paper is Content Based Filtering with K-means clustering for suggestion product calculation. The result is the system that can recommend skin care products for the users based on products they like, thus the users would fnd products those possibly suitable for their skin.