A Recommendation Model System Using Health Aware- Krill Herd Optimization that Develops Food Habits and Retains Physical Fitness

Major contributors to a healthy lifespan are regular physical activity and a nutritious diet. Although ageing is linked to decreased muscular function and endurance, these factors can be positively altered by regular physical activity, especially exercise training at all ages and in both sexes. Additionally, older people's altered body composition and metabolism, which can happen to even highly trained athletes, can be somewhat offset by active people's increased exercise metabolic efficiency. As a result, sportsmen are frequently cited as examples of good ageing, and their outstanding physical ability serves as a proof to what is still achievable as people age. This is due to their physical activities and the intake of food with high nutrient content. This paper provides a nutrient recommendation to the individual to improve their food habits and maintain the physical condition using the proposed Recommendation system using the Health Aware- Krill Herd Optimization (Recsys-HA-KHO). The Resys utilize HA-KHO to provide an efficient recommendation to consume nutritious food based on their Physical Activity (PA). The results obtained from the proposed HA-KHO is compared with other optimization algorithms based on the parameters likeprecision, recall, F1 score, Area Under Curve (AUC) and Discounted Cumulative Gain (DCG). The results show that the proposed HA-KHO obtained highest precision of 93.54% and the recall value of 97.32%.