Design and Implementation of A Content-based Gift Recommender System for Patient-visit

摘要

When visiting a patient, it's difficult to choose a useful gift for the patient. Moreover, we often send some useless gifts. This system is able to solve the problem. It can recommend gifts according to the doctors' suggestions and the patient's basic information. We created a mathematical model for this problem considering the type of disease and the patient's personal information. Then it uses the content-based recommendation algorithm to provide different types of gifts for the visitors. Next we validated the performance through computing the time complexity. Finally, we summarized what we have done and put forward how to improve in the future.