Constraint based recipe recommendation using forward checking algorithm
Kirti R. Pawar, Tushar H. Ghorpade, Rajashree Shedge · 2016
With the advanced research in medical science and technology, quality of our life has improved, also life span has been increased. With life style, diet habits has changed and work pressure increased which resulted in number of diseases, such as diabetes, Blood Pressure, heart problem etc. These diseases can be controlled to certain extent by avoiding uneven and inappropriate diet. Hence it is important to understand good diet and intake habits. Our objective is to recommend recipes to maintain health condition for people with disease and without disease which will satisfy the user needs. To present the recommendations, recommended system uses user's profile, favorite items and recipe details. This explicit knowledge satisfies the constraints for the recommendation. In this paper we propose a recommendation system for recipe using constraint knowledge based recommendation method (CKRM) and forward checking algorithm. The proposed system suggests recipe for diabetes disease which provides improved precision and recall. This depicts that proposed system is efficient than existing system. The reason to select this method is that it does not have ramp-up problem. The constraints which satisfy user's requirement will be the good recipe recommendation.