Recommendation Algorithm And Medical Expert Recommendation Systems Based On Python

With the rapid development of Internet technology,the rich information and big data sharing in cyberspace have provided great convenience for people's work and life.However,in the face of the growing mass of data and the increasing demand for information,the acquisition and rapid retrieval of information on demand has become an urgent problem to be solved in the Internet era.The study of information recommendation technology and recommendation system can effectively improve the efficiency of information acquisition,help users to efficiently obtain valuable information from massive data as required,and meet users' high-level needs for information.The dissertation mainly studies the design of medical expert recommendation system and hybrid recommendation algorithm based on Python.The medical expert system not only provides users with search queries for medical news,medical expert information,etc.,but also recommends the most suitable medical expert to users through hybrid recommendation algorithm,which brings convenience for users to select experts.The main work includes the following three aspects:(1)By using web crawler technology,medical expert information can be obtained from the health network.Through text data preprocessing,data screening,integration and processing can be processed to obtain medical expert data set.(2)Based on the analysis of traditional recommendation algorithms,a weighted fusion hybrid recommendation algorithm based on items and contents is proposed according to the recommendation needs of medical experts.By incorporating information entropy into the similarity calculation of project-based recommendation algorithm,both user behavior information and project information are used.Through the hybrid recommendation algorithm,medical experts can be recommended for users to better match their needs.(3)Based on the hybrid recommendation algorithm,a medical expert recommendation system is designed.The system is developed in Python language,and USES B/S(browser/Server)mode,Django framework,SQL Server database and other technologies to design the medical expert recommendation system.Medical expert recommendation system based on Python,its functions include login and registration,medical news query and browse,medical expert recommendation,user message,background management,etc.The internal links of modules are compact and the coupling degree between modules is low.According to the requirement analysis of system architecture,process,data flow and interface of each module design,on the basis of the design of each module in detail,the system will be hybrid recommendation algorithm in medical experts recommend system has carried on the effectiveapplication,and verify the superiority of the hybrid recommendation algorithm and the feasibility and effectiveness of medical experts recommend system.In today's era of big data and artificial intelligence,python-based medical expert recommendation system,based on the needs and objectives of medical expert recommendation,studies recommendation algorithm design and the application of artificial intelligence language Python,which has a broad application prospect.