Personalized Medicine Recommendation Based on Tensor Decomposition
Wang Lon · 2015
As the online shopping is becoming more and more popular,buying medicine online has brought great convenience for many patients.But when ordinary people buy drugs online,they always purchase medicine blindly.There is a big problem that they do not have access to the medicine guidance.In order to solve this problem,firstly,we clustered the drug into several groups according to the functional description information of the drug,and proposed the personalized medicine recommendation based on user collaborative filtering.Then considering the shortcomings of the collaborative filtering algorithm,we used the tensor decomposition methods to model the relationship of the user,symptom and medicine,and recommended the top-N related medicines to the users according to their symptoms.We crawled the real data from the internet and compared the results with collaborative filtering method.The results show good performance.