Package recommendation to support a nutritionally healthier eating pattern

Abstract

Worldwide the number of people with overweight is increasing. One of the contributing factors is the overload of information. This is a problem which can be solved by incorporating a recommender system. In this research package recommendation is used to create personalized recipe week schedules to help users with a nutritionally healthier eating pattern. The contributions of this research are fourfold. (1) A systematic literature review has been conducted in the field of package recommendation. (2) A new form of package recommendation is proposed which makes use of multiple constraints and adjusted algorithms. (3) A system is build which could help users with a nutritionally healthier eating pattern. (4) A new data set is created which can be used for further research.