Recommendation systems, or also known as recommendation engines, have become an im- portant research area and are applied in various fields. In addition, the technologies behind these systems have been developed over time. In general, these systems help users to find products or services (such as books or music) through analyzing and aggregating other users’ activities, primarily in form of reviews, and then forming recommendations. Recommendations help facilitate the user’s decision-making process . In this project, we will develop a recommendation system of a pharmacy website to provide recommendations for customers to facilitate choosing items. Recommendation system predicts whether a user prefers a product or not, and gives new options based on the user’s profile and behavior in the past.