Abstract
In recent years, national fitness has become a hot topic. How to take healthy and effective exercise on a daily basis is an urgent problem to be tackled. Web-based platforms are accessible through cellphones, which include fitness records, teaching videos, and result feedback. These three aspects assist users in completing their initial evaluation, which further contributes to health improvement. Additionally, enhancement in the well-being of individuals is carried through video recommendations. In order to proceed fitness related videos suggestions, this platform uses a collaborative filtering algorithm, which is based on videos recommendation. To receive suggestions, this methodology acquires five queries to be completely addressed at the preliminary stage. This initial assessment is commonly known as a cold-start evaluation strategy. Furthermore, popularity punishment measures are incorporated to enhance productivity. Finally, this platform offers an online-based approach for the inspection, assessment of the national fitness, and orientation for the future improvement of the fitness database.
Highlights
With the advent of sophisticated technological accessories, lifestyle is changed in many ways. e convenient accessibility of these portable devices, especially cellphones, serves humanity in numerous walks of life
On the other side of such innovations, reduction in face-to-face interaction occurs, which leads to several health and psychological issues [1]
National fitness has become an essential part of daily life. e original purpose of national fitness is to enhance the physiques of teenagers
Summary
National fitness has become a hot topic. How to take healthy and effective exercise on a daily basis is an urgent problem to be tackled. Ese three aspects assist users in completing their initial evaluation, which further contributes to health improvement. Enhancement in the well-being of individuals is carried through video recommendations. In order to proceed fitness related videos suggestions, this platform uses a collaborative filtering algorithm, which is based on videos recommendation. To receive suggestions, this methodology acquires five queries to be completely addressed at the preliminary stage. Popularity punishment measures are incorporated to enhance productivity. This platform offers an online-based approach for the inspection, assessment of the national fitness, and orientation for the future improvement of the fitness database
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