Design And Implementation Of Personalized Information Recommendation System Of Medical Care

Today's era has entered an era of information explosion,with the development of Web2.0,how to get the information from the massive data becomes more and more difficult.In this context,the search engine has become the fastest way to get the information you need the best way and means.With the gradual understanding of the search engine,we found the problems and shortcomings of the search engine.When the user is very clear about their needs,and provide the search engine keyword is very accurate,the search engine to retrieve the information is relatively accurate.But it can not fully meet the requirements of people for information discovery,because in most cases,users on the expression of their needs are not very clear,provided to the search engine keyword is not very accurate,or search engine results is not very consistent with the user's personal preferences and tastes.Therefore,the market appeared another technique,information recommendation technology,which is to include user search behavior information,data mining technology,is the good supplement of search engine,we used to call the recommendation engine.In this paper,based on the information search technology and information recommendation technology,we design a personalized medical care information recommendation system in the field of medical care.The system through the data mining analysis of medical information,medical information,medical information and user registration information and user behavior information and so on,will recommend users really care and really need medical care information to the user,the user can easily and quickly access the information they need medical care.Based on the search engine and information recommendation algorithm,a personalized information recommendation system is designed and implemented in the field of medical nursing information.The system is different from the traditional medical care websites and applications,which is mainly to analyze the user's basic information and user behavior information,and actively recommend the user interested in the data.In this paper,the background and the development status of the recommendation system in the industry are deeply investigated.This paper also introduces the related technology,development environment,technical framework selection,outline design and module partition of personalized medical information recommendation system.Then the system is divided into modules in detail design,the realization of the system.Finally,based on the analysis of the system requirements analysis,the experimental results of the system are analyzed,and the system is evaluated objectively.Personalized medical care information recommendation system refers to themature model of recommendation technology in the field of e-commerce,and provides an effective and efficient information platform for medical care information.The system can be embedded in the traditional medical care website,can also be run independently,for the user more professional,more timely medical care knowledge,as well as questions and answers about nursing information.