Recommender system for nuitrition additives

Abstract

Food supplements are becoming more and more common every day. The question arises, how to help the user in the selection of them. The goal is to create a web application, which returns to user the most appropriate food supplements, how he or she should take them, what to avoid, where to buy, etc. For implementation, we used validated and extended web technologies. For users and system administrators we use HTML5, CSS and JavaScript, while PHP and MySQL perform the background work. For each user, the application stores data and increases the database. We then use that database and user input to calculate probability of a certain medical condition using the formula of conditional probability