Radio Frequency Perception Push of Personalized Consumption on Health Combining Collaborative Filtering Algorithm in Data Mining
With the development of the Internet of Things (IoT) technology, concepts such as
smart home, smart transportation, and smart medical care have emerged one after
another, and people's lives are developing toward smarter and more personalized life.
The continuous enrichment of sensor types has brought a variety of data. Hence, how
to analyze and process these data effectively has become the key research direction in
the industry. In this paper, the pre-processed health characteristic data and processes
are used to obtain the service information recommendation for the users based on the
collaborative filtering algorithm in data mining and push the health service and product
consumption information suitable for the conditions of the users accordingly.