SNPERS: A Physical Exercise Recommendation System Integrating Statistical Principles and Natural Language Processing

As chronic diseases such as cardiovascular are prevalent and progressively more common in young people, college students paying attention to exercising, even though they busy studying. However, some unmindful of their physique bodies’ targeted exercise. The exercise do is either extensive but not refined or too homogeneous. We conducted a statistical analysis 18,101 students’ physical examination results. found that who regularly still did achieve satisfactory results one items had often exercised the two unscientific ways mentioned above. This paper presents an intelligent recommendation system integrates principles natural language processing, which improves traditional systems could provide suitable suggestions for students. R2 increased by about 27.72%.