DefinePK

Abstract

Data Mining is a cross-disciplinary field that concentrates on discovering properties of data sets. There are different approaches to discovering properties of data sets and Machine Learning is one of them. Machine Learning is a sub-field of data science that focuses on designing algorithms that can learn from and make predictions on the data. With the increase in the demand for the e-commerce websites, lots of information arises due to which the users face difficulty in finding the relevant information matching their preferences. Thus, we represent a system which will recommend similar food products to the user based on his purchase. The Food Product will be recommended based on the day to day health diseases of the user. The user profile is formed in which health complication of the user is there. The dataset for Recommendation System comprises of 2075 food items. We will apply K-nutrient algorithm to realize the Recommendation System. We will also implement Machine Learning algorithms such as Support Vector Machine (SVM) and Random Forest. In addition to this, the comparison between SVM and Random Forest is performed and SVM outperforms Random Forest algorithm as it shows an increase in the performance.