| At present,the doctor has accumulated a large amount of information in information system,therefore,appeared many doctors information system with the combination of the personalized recommendation,they are able to extract the most from large doctors can meet the demand of user personalized doctor and recommend to the user.At the same time,in a mobile environment requirement for personalized recommendation is also much more strict than traditional recommendation,only rely on only consider between users or recommend content similarity between traditional recommendation system has been unable to meet the needs of users.Due to the user's location is changing,which requires the real-time recommendation system must have,can make a timely response to the change of the user environment.If the user's location information recommendation system will get to take advantage,it can not only improve the adaptability of recommendation system,also can improve the satisfaction of users.According to the above problem,based on the personalized recommendation technology,on the base of multiple attribute decision making theory research,through to the doctors recommend system and the research status of location based service,and the analysis of the problems facing the distance of the user and the project factors as one of the recommendation system reference variables,also for doctors information platform based on the location of the recommendation system.Is proposed in this paper,based on the location of the doctors recommend system architecture,constructs the personalized recommendation algorithm based on position,and add users to the doctor after scoring the learning mechanism,makes the algorithm more intelligent.Through design and development of application prototype system test the feasibility of personalized recommendation system based on location algorithm,through recommendation precision,recommended fitness index test,show that the recommended system effectively solves the problem of cold start,reduce the running time of the algorithm,a real-time,can get to the user's short-term interests,and to recommend to provide users with more satisfactory results. |
