| With the rapid development of computer network communication technology and Internet,information overload is the main challenge for the internet.With the development of electronic commerce,the variety and quantity of goods provided by the merchant has a clear demand for rapid growth.Users can search to buy goods.However,users usually have uncertainty and ambiguity.With the improvement of people’s living standard,the use of vehicles becomes more and more frequent.Large vehicle use group,so that the damage of the vehicle is no longer a small probability event.How to provide users with the most professional services in real time and accurately,as well as to which the best maintenance is the owner of the problem.Personalized recommendation system is an effective way to solve this problem.The author participated in the diagnosis of Yang Yang car APP,according to the needs of the project,from the angle of time and space on the vehicle maintenance personalized recommendation method,and design the corresponding paper recommendation system,the main research work and results are as follows:(1)this paper presents a time-based recommendation algorithm.By adding the time factor to the user item rating matrix,the influence of the old score is reduced,and the recent scoring influence is improved.Considering the similarity between users,we can find out the potential interest of the user to the project which has not been expressed.(2)this paper also proposes a recommendation algorithm based on geographic information.A recommendation algorithm based on similarity and geographic information is proposed.Not only calculate the similarity between the user and the user,but also calculate the similarity between the user and the project.In order to recommend a better effect,the algorithm also the user and the distance between the project is too large for the default similarity is zero.The performance of the algorithm is improved in accuracy.(3)According to the need of Yang Yang APP,this paper designs and implements a vehicle maintenance recommendation system based on the recommendation algorithm based on time and the recommendation algorithm based on geographic information.In this paper,the requirements of the system are analyzed,and the overall design goal of the system framework is proposed,and the overall framework is designed as a multi module hierarchy. |
