Building A Complex Recommendation System Mixed With...

Problem: When people go to restaurants, or to a cafeteria, it is hard to choose a meal immediately and people have no idea if the food is healthy or tasty. There is a truth that most people do not realize that their diets endanger their life and health. Goal: To build a complex recommendation system mixed with motivation induction methods to gradually change people’s diets and eating patterns to be more healthy and suitable to them. Procedures: Start asking students and friends to do questionnaires about what part(s) of meals they think are the most important. Analyze the data input to make sure what factors I should conclude in the recommendation system. Search and find a proper recommender algorithm for different parts which affect people’s diet. Tracking food and recording data from friends, students and teachers. Coding different algorithms and testing them with an example database to determine which algorithm(s) I should use in the system. Test the final system on friends, students and teachers. Research topics: Learn about basic recommendation system’s types and algorithms. Find their merits and try to match them to recommend a specific field. Present situation and problems of applications of recommender system in diet. Basic research of influence of food nutritions on people’s diet and health. Datalist: What foods do people eat every meal? How do people like their taste and how do they score them from 0 to 10? Risk assessment: Various recommendationShow MoreRelatedStudy on Peekay Steel Castings Ltd9554 Words   |  39 Pagescastings and recommends the various changes that could improve the efficiency of organisation. 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